# dbt Labs

> dbt is the standard for data transformation, letting data teams work
> like software engineers. dbt Labs builds dbt Core, dbt Fusion and the
> dbt platform, used by tens of thousands of teams to build, test and
> document analytics code.

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## Pages

- [About dbt Labs](https://www.getdbt.com/about-us.md): Explore dbt Labs' mission to transform data, meet the leadership team, and discover dbt's impact on analytics engineering and the data community.
- [About dbt Labs - Careers](https://www.getdbt.com/about-us/careers.md): Looking for a career in data? Join dbt Labs and work at the forefront of analytics engineering innovation.
- [About dbt Labs - DEI](https://www.getdbt.com/about-us/dei.md): Learn how dbt Labs fosters a culture of belonging, flexible work, transparent compensation, and career growth. Discover our DEI initiatives.
- [About dbt Labs - Values](https://www.getdbt.com/about-us/values.md): Discover the core values that drive dbt Labs, from transparency and diversity to long-term growth, ensuring value creation for the data community.
- [Brand Guidelines](https://www.getdbt.com/brand-guidelines.md)
- [dbt Analytics Engineering Certification Exam](https://www.getdbt.com/certifications/analytics-engineer-certification-exam.md): Validate your dbt skills by earning the analytics engineer certification.
- [dbt Architect Certification Exam](https://www.getdbt.com/certifications/dbt-architect-certification-exam.md): Validate your ability to design secure, scalable dbt implementations with the dbt architect certification exam.
- [Legal - Privacy Policy](https://www.getdbt.com/cloud/privacy-policy.md): Learn how dbt Labs collects, uses, and safeguards your personal information across our website, services, and communications.
- [Community - About](https://www.getdbt.com/community.md): Connect with over 100,000 data professionals worldwide. Share knowledge, attend events, and contribute to the future of analytics with dbt.
- [dbt Meetup Organizer guide](https://www.getdbt.com/community/dbt-meetups/organizer-guide.md)
- [How to host a dbt Meetup](https://www.getdbt.com/community/dbt-meetups/overview.md)
- [Join the Community](https://www.getdbt.com/community/join-the-community.md): Join the dbt Community — a global network of data professionals. Access resources, events, and collaborations to advance your analytics journey.
- [dbt Community rules and expectations](https://www.getdbt.com/community/rules-and-expectations.md): Understand the principles for participating in the dbt Community. Learn about respectful engagement, messaging etiquette, and vendor expectations.
- [Book a Demo](https://www.getdbt.com/contact.md): Talk with our team to learn how dbt can drive value for your business. Explore a tailored solution for your data transformation needs.
- [Data Platforms - BigQuery](https://www.getdbt.com/data-platforms/bigquery.md): Build scalable, reliable data pipelines by combining dbt’s transformation capabilities with BigQuery’s powerful analytics engine.
- [Data Platform - Databricks](https://www.getdbt.com/data-platforms/databricks.md): Transform and scale analytics on Databricks using dbt. Build trusted, governed data pipelines with speed and confidence.
- [Data Platforms - Fivetran](https://www.getdbt.com/data-platforms/fivetran.md): Accelerate analytics by automating ELT workflows. Combine Fivetran’s data loading with dbt’s transformations for efficient, reliable pipelines.
- [Data Platforms - Microsoft Fabric](https://www.getdbt.com/data-platforms/microsoft-fabric.md): Integrate dbt with Microsoft Fabric to build scalable, secure data pipelines. Streamline transformations and enhance analytics workflows.
- [Data Platform - Redshift](https://www.getdbt.com/data-platforms/redshift.md): Transform and scale analytics on Amazon Redshift using dbt. Build trusted, governed data pipelines with speed and confidence.
- [Data Platforms - Snowflake](https://www.getdbt.com/data-platforms/snowflake.md): Combine dbt with Snowflake to build trusted, scalable data pipelines. Enhance governance, reduce costs, and deliver AI-ready analytics faster.
- [dbt Certification - About](https://www.getdbt.com/dbt-certification.md): Earn your dbt certification and validate your dbt skills and stand out in the data industry with a recognized certification.
- [Legal - dbt Fusion Engine License Agreement](https://www.getdbt.com/dbt-fusion-engine-license-agreement.md)
- [Training](https://www.getdbt.com/dbt-learn.md): Expert-led dbt training by the team that created dbt. On-demand courses, live workshops, & team programs — for all skill levels. Start learning free.
- [dbt Summit 2026 waitlist](https://www.getdbt.com/dbt-summit-2026-waitlist.md)
- [Home](https://www.getdbt.com/index.md): dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.
- [Energy & Utilities](https://www.getdbt.com/industry/energy-utilities.md)
- [Financial Services](https://www.getdbt.com/industry/financial-services.md)
- [Healthcare & Life Sciences](https://www.getdbt.com/industry/healthcare.md)
- [Manufacturing](https://www.getdbt.com/industry/manufacturing.md)
- [Telecommunications](https://www.getdbt.com/industry/telecommunications.md)
- [Stay up-to-date](https://www.getdbt.com/learn/newsletter.md): Join the dbt Labs newsletter to receive the latest insights, product updates, and best practices in analytics engineering directly to your inbox.
- [Legal - AI principles at dbt Labs](https://www.getdbt.com/legal/ai-principles.md): Explore dbt Labs' AI principles, focusing on ethical, transparent, and responsible AI use to build trust in data practices.
- [Legal - Certification Terms](https://www.getdbt.com/legal/certification-terms.md): Review the terms for dbt certification, including eligibility, exam rules, confidentiality, and use of credentials.
- [dbt Wizard token costs](https://www.getdbt.com/legal/dbt-wizard-token-costs-by-model.md)
- [dbt Labs Service Consumption Table](https://www.getdbt.com/legal/service-consumption-table.md)
- [dbt Licensing - Public FAQs](https://www.getdbt.com/licenses-faq.md): Explore dbt Labs’ licensing for dbt Core and Fusion. Learn about the Apache 2.0 licenses, the dbt Product Licensing Agreement, and usage guidelines.
- [Partners](https://www.getdbt.com/partners.md): Join our partner ecosystem to deliver modern data solutions and empower analytics teams with dbt.
- [Pricing](https://www.getdbt.com/pricing.md): Free Developer plan. Starter at $100/seat/month. Custom Enterprise options. Transparent pricing for every team size.
- [Solutions - AI](https://www.getdbt.com/product/ai.md): Leverage AI with dbt to enhance data workflows, automate complex tasks, and gain predictive insights.
- [Analyst](https://www.getdbt.com/product/analyst.md): Enable analysts to build, explore, and share trusted data assets using dbt’s intuitive, AI-assisted tools within a fully governed environment.
- [Solutions - Data Quality & Trust](https://www.getdbt.com/product/build-trust-in-data-and-data-teams.md): Build trust across your org with tested, versioned, and governed data powered by dbt’s transformation and observability tools.
- [Solutions - Cost Optimization](https://www.getdbt.com/product/cost-optimization.md): Cut query costs and improve performance with dbt. Optimize spend and drive efficiency across your data workflows.
- [Solutions - Data Modernization](https://www.getdbt.com/product/data-modernization.md): Eliminate bottlenecks, enhance governance, and scale analytics with dbt’s modular, cloud-native platform.
- [Product - Data Vault](https://www.getdbt.com/product/data-vault.md): Streamline Data Vault 2.0 implementation using dbt’s templates, lineage tracking, and integrated testing for enterprise-scale agility.
- [Product - dbt](https://www.getdbt.com/product/dbt.md): Streamline data transformation with dbt. Automate workflows, boost collaboration, and scale with confidence.
- [Capabilities - Discover](https://www.getdbt.com/product/dbt-catalog.md): Explore dependencies, trace lineage, and monitor performance across your data estate using dbt Catalog’s interactive interface.
- [Capabilities - Plan](https://www.getdbt.com/product/dbt-mesh.md): Empower domain teams to own data pipelines while maintaining centralized governance and cross-project lineage with dbt Mesh.
- [dbt State](https://www.getdbt.com/product/dbt-state.md): dbt State checks your metadata and model SQL on every run — building only what changed, skipping the rest. Cut warehouse compute & ship fresher data.
- [dbt Wizard](https://www.getdbt.com/product/dbt-wizard.md): dbt Wizard is grounded in your dbt project — lineage, compiled state, and metrics. Build, debug, and refactor with confidence.
- [Capabilities - Deploy](https://www.getdbt.com/product/deploy.md): Streamline CI/CD workflows, schedule jobs, and monitor deployments to ensure reliable, fresh data in production.
- [Capabilities - Develop](https://www.getdbt.com/product/develop.md): Build, test, and deploy analytics workflows using dbt’s collaborative development tools, including Studio IDE, Canvas, and Copilot.
- [Solutions - Embedded Analytics](https://www.getdbt.com/product/embedded-analytics-use-cases.md): Embed real-time, governed metrics into apps using dbt’s semantic layer to deliver trusted, scalable analytics to every user.
- [Product - Fusion](https://www.getdbt.com/product/fusion.md): Experience lightning-fast performance and intelligent SQL validation with the dbt Fusion engine, the next-generation engine for modern analytics.
- [Product - Governance](https://www.getdbt.com/product/governance.md): Implement access controls, versioning, and lineage tracking to ensure data quality and compliance with dbt.
- [Product - Integrations](https://www.getdbt.com/product/integrations.md): Connect dbt with leading tools for data movement, BI, and governance to streamline your analytics workflows.
- [Self-hosting dbt vs. dbt platform](https://www.getdbt.com/product/self-hosting-dbt-vs-dbt-platform.md): Stop maintaining infrastructure. dbt platform gives your team managed transformations, governed collaboration, and built-in AI — without the overhead.
- [Capabilities - Analyze](https://www.getdbt.com/product/semantic-layer.md): Define metrics once and deliver consistent, governed insights across tools with dbt’s Semantic Layer, powered by MetricFlow.
- [Use Cases - dbt Semantic Layer](https://www.getdbt.com/product/semantic-layer-use-cases.md): Discover how dbt’s Semantic Layer enables consistent metrics across BI, AI, embedded analytics, and self-serve tools.
- [Capabilities - Test & Observe](https://www.getdbt.com/product/test-and-observe.md): Automate tests, monitor pipelines, and resolve issues quickly with dbt’s integrated data quality tools.
- [What is dbt](https://www.getdbt.com/product/what-is-dbt.md): Transform raw data into reliable insights with dbt’s modular, cloud-native platform built for collaboration and scale.
- [Report a Problem](https://www.getdbt.com/report-a-problem.md): Encounter an issue? Report it to help us enhance dbt Labs' website and ensure a better experience for all users.
- [SDF](https://www.getdbt.com/sdf.md): Bringing the most advanced SQL understanding to your favorite data tool.
- [Security](https://www.getdbt.com/security.md): Explore how dbt safeguards your data with top-tier security measures and compliance certifications, ensuring trust and reliability.
- [Security Disclosure](https://www.getdbt.com/security/disclosure.md): Learn how to report security vulnerabilities to dbt Labs. Review our bug bounty scope, guidelines, and responsible disclosure process.
- [Services](https://www.getdbt.com/services.md): Partner with dbt Labs experts to design, implement, and scale your analytics workflows with confidence.
- [Sign up](https://www.getdbt.com/signup.md): Create your dbt account to start building reliable, governed data pipelines. Experience streamlined analytics engineering from day one.
- [Legal - Software and Service Specific Requirements for Fivetran Products](https://www.getdbt.com/software-and-service-specific-requirements-for-fivetran-products.md)
- [Services Descriptions for Statements of Work](https://www.getdbt.com/sow-services-descriptions.md)
- [Spreadsheets](https://www.getdbt.com/spreadsheets.md): Bring governed, real-time metrics into Google Sheets and Excel using dbt’s Semantic Layer.
- [Subcontractor BAA](https://www.getdbt.com/subcontractor-baa.md): Review dbt Labs’ Subcontractor Business Associate Agreement outlining HIPAA-compliant data handling and security obligations.
- [Subcontractor DPA](https://www.getdbt.com/subcontractor-dpa.md): Review dbt Labs’ Subcontractor Data Processing Addendum outlining data handling, compliance, and security obligations for subcontracted services.
- [University Participation & Consent Form](https://www.getdbt.com/university-consent-form.md)
- [University Partners Program Terms](https://www.getdbt.com/university-partners-program-terms.md)
- [Student Participation & Consent Form](https://www.getdbt.com/university-student-consent-form.md)

## Blog

- [Why your AI pilot stalled at the context gap](https://www.getdbt.com/blog/why-your-ai-pilot-stalled-at-the-context-gap.md): Many AI projects are stuck. Don’t blame the models. The problem is a lack of trusted context. Here’s how you solve it.
- [Scaling AI is easy. Trusting it is hard.](https://www.getdbt.com/blog/scaling-ai-is-easy-trusting-it-is-hard.md): As AI scales, cracks in data trust and governance start to show. Here's what breaks first, and what it takes to fix it.
- [Databricks processes your data. dbt defines what it means](https://www.getdbt.com/blog/databricks-processes-your-data-dbt-defines-what-it-means.md): Your compute platform and your transformation logic are two separate decisions. Most executives approve them as one.
- [dbt Core v1.12 is GA](https://www.getdbt.com/blog/dbt-core-v1-12-is-ga.md): dbt Core v1.12: what's new and how to upgrade.
- [Model for the token, not the table](https://www.getdbt.com/blog/model-for-the-token-not-the-table.md): We were burning through Gong's API to feed AI. Modeling the transcripts in the warehouse with dbt cut token costs 20x.
- [Why agentic projects fail and how to fix them](https://www.getdbt.com/blog/why-agentics-projects-fail-and-how-to-fix-them.md): Why do some AI deployments yield great successes while so many still crash and burn? The answer is in the data.
- [How dbt State cuts warehouse compute and speeds up every run](https://www.getdbt.com/blog/dbt-state-use-case.md): How Fanatics cut warehouse compute by only rebuilding what's changed
- [dbt Summit 2026: the keynotes and product sessions](https://www.getdbt.com/blog/dbt-summit-2026-keynotes-product-sessions.md): The dbt Summit 2026 keynotes and the product sessions behind them.
- [From analytics engineer to context engineer](https://www.getdbt.com/blog/from-analytics-engineer-to-context-engineer.md): First in a series on the shift from modeling data for dashboards to modeling context for agents. We start with our own Gong data.
- [Retiring the dbt Snowflake Native App](https://www.getdbt.com/blog/retiring-the-dbt-snowflake-native-app.md): The dbt Snowflake Native App retires in November 2026. Here's what it means for you.
- [Fivetran + dbt Labs: The future of dbt Core v2.0](https://www.getdbt.com/blog/fivetran-dbt-20-future.md): AI has changed the game. dbt is changing along with it. Learn more about dbt Core v2.0 and the future of dbt itself.
- [Your next level starts here: A preview of dbt Summit sessions, by role](https://www.getdbt.com/blog/dbt-summit-2026-sessions-by-role.md): Preview dbt Summit 2026 sessions by role: hands-on labs and breakouts for analytics engineers, data leaders, and execs.
- [OSI is now Apache Ossie (Incubating)](https://www.getdbt.com/blog/osi-is-now-apache-ossie.md): Apache Ossie is currently undergoing incubation at The Apache Software Foundation (ASF).
- [The productivity gains hiding in your data infrastructure](https://www.getdbt.com/blog/data-infrastructure-productivity-gains.md): Budgets aren't growing, but the work is. See how dbt customers recouped 58.7 FTEs in capacity, worth $1.75M a year.
- [Solving dashboard errors in minutes: How Integral Ad Science used MCP to connect agents to dbt and Databricks](https://www.getdbt.com/blog/mcp-dbt-databricks.md): Integral Ad Science used MCP to connect AI agents to dbt and Databricks, turning hours of dashboard debugging into minutes.
- [A guide to implementing AI data pipelines](https://www.getdbt.com/blog/a-guide-to-implementing-ai-data-pipelines.md): AI coding took off. AI pipeline management didn't. Here's a practical playbook for closing that gap.
- [Data platforms were built to store. Intelligence platforms are built to reason.](https://www.getdbt.com/blog/data-platforms-were-built-to-store-intelligence-platforms-are-built-to-reason.md): Data platforms store information. Intelligence platforms govern meaning so AI can reason on it reliably.
- [What Fivetran + dbt Labs brought to Databricks Data + AI Summit (and what you can take home)](https://www.getdbt.com/blog/what-fivetran-dbt-labs-brought-to-databricks-data-ai-summit-and-what-you-can-take-home.md): See what Fivetran + dbt Labs shared at Databricks Data + AI Summit: dbt Wizard, dbt State, and dbt Core v2.0, plus what's next.
- [The semantic debt crisis no one is talking about](https://www.getdbt.com/blog/the-semantic-debt-crisis-no-one-is-talking-about.md): Two teams. Same metric. Different numbers. That's semantic debt, and AI will make it impossible to ignore.
- [Start fresh, don't lift and shift: a dbt migration guide](https://www.getdbt.com/blog/start-fresh-don-t-lift-and-shift-a-dbt-migration-guide.md): dbt migrations underdeliver when teams rebuild legacy patterns in a new tool. Here's how to start fresh instead.
- [The analytics engineer in 2026: system designer, governance owner, AI context provider](https://www.getdbt.com/blog/the-analytics-engineer-in-2026-system-designer-governance-owner-ai-context-provider.md): AI is reshaping the analytics engineer role. Here's what system design, governance, and AI context look like in 2026.
- [How dbt makes agentic data pipelines trustworthy: the transformation layer's role in autonomous data systems](https://www.getdbt.com/blog/how-dbt-makes-agentic-data-pipelines-trustworthy-the-transformation-layer-s-role-in-autonomous.md): AI agents can run your pipelines. But who decides what "correct" looks like? The transformation layer does, and that layer is dbt.
- [Context engineering is the new analytics engineering skill: a practical guide for dbt users](https://www.getdbt.com/blog/context-engineering-is-the-new-analytics-engineering-skill-a-practical-guide-for-dbt-users.md): Analytics engineers are already doing context engineering. Here's how your dbt project becomes context for AI.
- [Building the agentic data stack: A practical dbt guide for the AI era](https://www.getdbt.com/blog/building-the-agentic-data-stack-a-practical-dbt-guide-for-the-ai-era.md): AI builds data infrastructure fast. Here's how to make your dbt project ready to support agents without it falling over.
- [The trust-speed paradox: Governing AI-accelerated data work](https://www.getdbt.com/blog/the-trust-speed-paradox-governing-ai-accelerated-data-work.md): 72% of data teams use AI to write code. Only 24% invest in checking what it produces. Here's how to close that gap
- [Your AI isn't broken. Your data model is.](https://www.getdbt.com/blog/your-ai-isn-t-broken-your-data-model-is.md): AI proof of concepts work. Production doesn't. The gap between those two things lives in your data model, not your model.
- [What is enterprise data infrastructure?](https://www.getdbt.com/blog/enterprise-data-infrastructure.md): Why your GenAI projects need a robust enterprise data infrastructure that acts as a single control plane for your data.
- [Building a data stack for trusted AI](https://www.getdbt.com/blog/data-stack-trusted-ai.md): Trusted AI requires governed, consistent, and contextual data. Here’s how to build it without tying yourself down.
- [dbt Labs Named Snowflake Data Integration Product Partner of the Year](https://www.getdbt.com/blog/dbt-labs-named-snowflake-data-integration-product-partner-of-the-year.md): dbt Labs wins two Snowflake Partner honors: Data Integration Product Partner of the Year and Snowflake’s CoCo Adoption Award
- [What we announced at Snowflake Summit and why it matters](https://www.getdbt.com/blog/what-we-announced-at-snowflake-summit-and-why-it-matters.md): dbt State, dbt Wizard, dbt Core v2.0, and the Fivetran merger
- [Fivetran and dbt are one company now. Here's what that means.](https://www.getdbt.com/blog/fivetran-and-dbt-are-one-company-now-here-s-what-that-means.md): Fivetran and dbt Labs are officially one company to deliver data infrastructure for agents you trust.
- [Fivetran + dbt Labs Complete Merger to Create the Data Infrastructure for Trusted AI Agents](https://www.getdbt.com/blog/fivetran-dbt-labs-complete-merger-to-create-the-data-infrastructure-for-trusted-ai-agents.md): Fivetran and dbt Labs are now one company, focused on building the data foundation for the agentic AI era.
- [What data infrastructure do agents need?](https://www.getdbt.com/blog/what-data-infrastructure-do-agents-need.md): Discover the data infrastructure architecture AI agents need to eliminate hallucinations, handle sub-second freshness, and query
- [Are you ready for the dbt Fusion engine?](https://www.getdbt.com/blog/are-you-ready-for-the-dbt-fusion-engine.md): A practical look at how Brooklyn Data’s Fusion Readiness Assessment helps teams plan a migration with confidence.
- [Get dbt certified. Stay certified. Stay ahead.](https://www.getdbt.com/blog/get-dbt-certified-stay-certified-stay-ahead.md): Get dbt certified -- and stay that way. Here's why certification matters for your career and how to earn it.
- [AI-ready data in practice: What dbt Semantic Layer and dbt's MCP server and agent skills do for your team](https://www.getdbt.com/blog/ai-ready-data-in-practice-what-dbt-semantic-layer-and-dbt-s-mcp-server-and-agent-skills-do-for.md): Clean data is just the start. See how dbt's semantic layer, MCP, and agent skills give AI the business context it needs.
- [What's shipped in dbt — May 2026](https://www.getdbt.com/blog/what-s-shipped-in-dbt-may-2026.md): A roundup of everything we've shipped since January—across agents, Fusion, security, developer experience, dbt Core, and more.
- [AI-assisted analytics engineering: Docusign’s framework for scaling dbt unit testing](https://www.getdbt.com/blog/ai-assisted-analytics-engineering-docusign-s-framework-for-scaling-dbt-unit-testing.md): How Docusign reduced dbt unit test authoring from 5 hours to 30 minutes using a structured AI-assisted framework.
- [How Nasdaq built a governed intelligence layer with dbt and Databricks](https://www.getdbt.com/blog/how-nasdaq-built-a-governed-intelligence-layer-with-dbt-and-databricks.md): Nasdaq processes up to a trillion messages a day across 26 business lines. Here's why they use dbt and Databricks to do it.
- [Ship smarter agents in production with dbt Agent Skills](https://www.getdbt.com/blog/ship-smarter-agents-in-production-with-dbt-agent-skills.md): Just like humans, autonomous agents need faster feedback loops. Here’s how to develop them.
- [The dbt Developer Agent is now in Preview: the coding agent for analytics engineering](https://www.getdbt.com/blog/the-dbt-developer-agent-is-now-in-preview.md): dbt Developer Agent is now available in Preview—grounded in your dbt project so you ship faster without breaking downstream.
- [5 dbt MCP server patterns that work in production](https://www.getdbt.com/blog/5-dbt-mcp-server-patterns-that-work-in-production.md): Five dbt MCP server patterns from real production use, including one that doesn't work the way you'd expect.
- [How Obie cut compute costs by 30%, reclaimed engineering hours, and built stronger governance](https://www.getdbt.com/blog/how-obie-cut-compute-costs-by-30-percent.md): See how Obie used the dbt Fusion engine and state-aware orchestration to cut costs, speed up pipelines, and scale with confidence.
- [Using dbt with Databricks: Architecture decisions that determine success](https://www.getdbt.com/blog/using-dbt-with-databricks-architecture-decisions-that-determine-success.md): The cost of skipping dbt on Databricks compounds quietly. A solution architect explains what to watch for and when to act.
- [dbt Labs Wins a 2026 Google Cloud Partner of the Year Award](https://www.getdbt.com/blog/dbt-labs-wins-2026-google-cloud-partner-of-the-year-award.md): dbt Labs recognized for empowering thousands of Google BigQuery users to deliver trusted analytics and AI at scale
- [Why metric definitions matter for reliable AI agents](https://www.getdbt.com/blog/metric-definitions-ai-agents.md): Learn how dbt's semantic foundation enables reliable, governed agentic analytics.
- [Meet Antigravity: Google’s agentic IDE enters the dbt orbit](https://www.getdbt.com/blog/meet-antigravity-google-s-agentic-ide-enters-the-dbt-orbit.md): Google's agentic IDE is here, and paired with dbt, it might just give you your weekends back. Here's what you need to know.
- [Exploring dbt and Google with AI agents](https://www.getdbt.com/blog/exploring-dbt-and-google-with-ai-agents.md): What happens when you plug AI into a dbt project and let it do things? A practical guide to building your first dbt agent.
- [Tableau and dbt: structured context for reliable AI analytics](https://www.getdbt.com/blog/tableau-and-dbt-mcps-together.md): Two MCPs, one config file. Learn how pairing dbt and Tableau unlocks impact analysis, metric reconciliation, and more.
- [New dbt Labs Report Finds AI-driven Acceleration is Outpacing Trust and Governance](https://www.getdbt.com/blog/new-dbt-labs-report-finds-ai-driven-acceleration-is-outpacing-trust-and-governance.md): AI is accelerating data workflows, but governance and trust aren't keeping pace, according to a new dbt Labs report.
- [From raw data to trusted AI: What dbt is bringing to Google Cloud Next](https://www.getdbt.com/blog/what-dbt-is-bringing-to-google-cloud-next-2026.md): See how dbt + BigQuery powers trusted, AI-ready analytics. Visit Booth #6606 at Google Cloud Next, April 22–24 in Las Vegas.
- [Mistakes I made as the head of analytics (and what I’d do differently now)](https://www.getdbt.com/blog/mistakes-i-made-as-the-head-of-analytics-and-what-i-d-do-differently-now.md): A former head of analytics on the 6 mistakes he made with dbt—and what he'd do differently now.
- [Operationalize analytics agents: dbt AI updates + Mammoth’s AE agent in action](https://www.getdbt.com/blog/operationalize-analytics-agents-dbt-ai-updates-mammoths-ae-agent.md): Learn how to operationalize your analytics agents by building context for LLM models with dbt and MCP servers.
- [How AI is reshaping the way data practitioners work](https://www.getdbt.com/blog/how-ai-is-reshaping-the-way-data-practitioners-work.md): What happens to data work when AI changes everything? The hosts of The View on Data podcast share what's shifting and what isn't.
- [What does Databricks Lakebase mean for analytics engineers?](https://www.getdbt.com/blog/databricks-lakebase-analytics-engineers.md): Learn how to connect dbt, when to migrate, and what the tradeoffs are for your data team.
- [Introducing the dbt Community Champions Program](https://www.getdbt.com/blog/introducing-the-dbt-community-champions-program.md): Building the future of analytics engineering, together.
- [Types of data transformations for machine learning](https://www.getdbt.com/blog/data-transformations-for-machine-learning.md): Explore key data transformation types for ML, including cleaning, scaling, feature engineering, and validation.
- [What are the most common data pipeline architecture patterns?](https://www.getdbt.com/blog/common-data-pipeline-architecture-patterns.md): Explore common data pipeline architecture patterns—from ETL and ELT to batch, streaming, and semantic layers.
- [How a semantic layer prevents AI hallucinations in analytics](https://www.getdbt.com/blog/how-a-semantic-layer-prevents-ai-hallucinations-in-analytics.md): Learn how a semantic layer gives AI systems the consistent, governed foundation they need.
- [How ETL tools fit into modern data pipeline architecture](https://www.getdbt.com/blog/etl-tools-data-pipeline-architecture.md): Explore ETL vs ELT and how modern transformation tools power scalable data pipelines.
- [The Iceberg ecosystem today](https://www.getdbt.com/blog/the-iceberg-ecosystem-today.md): Anders Swanson explains what data teams can realistically expect when attempting to run on top of Iceberg in production.
- [Why metadata management is critical for modern data teams](https://www.getdbt.com/blog/why-metadata-management-is-important.md): Metadata management improves discovery, governance, performance, and trust in modern data systems.
- [Why ETL is still essential for modern data pipelines](https://www.getdbt.com/blog/why-etl-matters-data-pipelines.md): ETL consolidates fragmented data, enforces quality, and satisfies compliance requirements modern organizations depend on.
- [How a global investment firm reduced runtimes by 30–40% with the dbt Fusion engine](https://www.getdbt.com/blog/how-a-global-investment-firm-reduced-runtimes-by-30-40-with-the-dbt-fusion-engine.md): NBIM cut runtimes 30–40% in 3 months with the dbt Fusion engine and State-Aware Orchestration—without heavy optimization.
- [Effective strategies to enhance data quality management](https://www.getdbt.com/blog/enhance-data-quality-management-strategies.md): Improve data quality with testing, metrics, automation, and a scalable governance framework.
- [Data movement patterns explained (ETL, ELT, CDC & more)](https://www.getdbt.com/blog/data-movement-patterns.md): ETL, ELT, batch, CDC, reverse ETL—learn the key data movement patterns and when to use each.
- [How data transformation improves data quality and analysis](https://www.getdbt.com/blog/data-transformation-improves-data-quality.md): Learn how transformation methods improve data quality, consistency, and analysis at scale with dbt.
- [Effective strategies to improve data quality across your organization](https://www.getdbt.com/blog/strategies-improve-data-quality.md): Proven strategies to improve data quality with testing, governance, and scalable analytics workflows.
- [How AI improves data lineage at scale](https://www.getdbt.com/blog/ai-data-lineage.md): Discover how AI accelerates data lineage with automated docs, testing, and scalable governance.
- [How AI is transforming modern data pipelines](https://www.getdbt.com/blog/how-ai-changes-data-pipelines.md): AI is reshaping data pipelines—driving real-time data, automation, and AI-assisted modeling at scale.
- [Write once, analyze anywhere: Omni + the dbt Semantic Layer](https://www.getdbt.com/blog/omni-dbt-semantic-layer.md): Unify metrics across BI and AI with Omni + the dbt Semantic Layer. Define once, query everywhere, eliminate semantic drift.
- [How Zscaler cut PR review time by 90% using dbt context and multi-agent AI (OpenAI)](https://www.getdbt.com/blog/how-zscaler-cut-pr-review-time-dbt-context-multi-agent-ai.md): Zscaler built an AI-powered, multi-agent PR review system that uses dbt’s structured context.
- [Data ins and outs for 2026: what data teams are keeping, cutting, and reconsidering](https://www.getdbt.com/blog/data-ins-and-outs-for-2026.md): Data ins and outs for 2026: simplify workflows, avoid over-engineering, and rethink how data teams use AI.
- [How AI accelerates and improves data modeling](https://www.getdbt.com/blog/ai-data-modeling.md): Learn how AI accelerates SQL modeling, testing, documentation, and performance optimization in modern data teams.
- [How dbt Labs reduced dbt-related compute costs by 64% with Fusion and state-aware orchestration](https://www.getdbt.com/blog/dbt-compute-cost-reduction-fusion-state-aware-orchestration.md): With intelligent orchestration and optimization, we achieved a 64% reduction in compute costs and simplified our job architecture.
- [Maximize the business value of your data platform with dbt](https://www.getdbt.com/blog/dbt-business-value.md): Learn how tools like Fusion’s state-aware orchestration deliver real business value.
- [Bring structured context to Snowflake Intelligence with dbt](https://www.getdbt.com/blog/bring-structured-context-to-snowflake-intelligence-with-dbt.md): Power reliable Cortex and Snowflake Intelligence experiences with dbt and Snowflake Semantic Views.
- [Do you need a data observability platform?](https://www.getdbt.com/blog/do-you-need-a-data-observability-platform.md): Not sure if you need a data observability platform? Learn the signs, tradeoffs, and business impact of investing in one.
- [dbt Core v1.11 is GA](https://www.getdbt.com/blog/dbt-core-v1-11-is-ga.md): dbt Core v1.11 is GA with first-class UDFs, clearer project validation, and performance improvements across adapters.
- [Deliver reliable AI with the dbt Semantic Layer and dbt MCP Server](https://www.getdbt.com/blog/dbt-mcp-server-reliable-ai.md): Learn how to provide structured context to AI systems with a dbt-powered MCP server.
- [How data mesh solved centralized data management challenges](https://www.getdbt.com/blog/how-data-mesh-solves-centralized-data-challenges.md): Data mesh decentralizes data ownership and reduces bottlenecks with self-service platforms and federated governance.
- [Why analytics engineering isn't just data modeling](https://www.getdbt.com/blog/why-analytics-engineering-isnt-just-data-modeling.md): Analytics engineering extends beyond modeling to collaboration, testing, documentation, and scaling analytics workflows.
- [What defines a control plan for data infrastructure](https://www.getdbt.com/blog/what-defines-a-control-plan-for-data-infrastructure.md): Learn how a data control plane centralizes metadata, governance, & collaboration to make distributed data architecture manageable.
- [Data marts vs. Data products: What's the difference?](https://www.getdbt.com/blog/data-marts-vs-data-products.md): Understand how data marts and data products serve different roles in modern data platforms—and why you need both.
- [What the Open Semantic Interchange (OSI) spec means for metrics, semantics, and AI](https://www.getdbt.com/blog/the-osi-spec-updates.md): An open OSI spec for semantic portability is now available, plus dbt's commitment to operationalize semantics.
- [What makes a great dbt Summit presentation? (And why yours belongs on stage)](https://www.getdbt.com/blog/what-makes-a-great-dbt-summit-presentation.md): Share your data story at dbt Summit. CFP now open. Real problems, real solutions. Submit by March 31.
- [Centrally defined metrics: The key to AI success](https://www.getdbt.com/blog/centrally-defined-metrics.md): Spaghetti metrics won’t work in the age of AI. Here’s how to create and manage a centralized, consistent metrics framework.
- [Apache Iceberg and the catalog layer](https://www.getdbt.com/blog/apache-iceberg-and-the-catalog-layer.md): Everything you ever wanted to know about open table formats with a member of Apache Iceberg and Apache Polaris.
- [How Sweetgreen transformed unstructured data into conversational analytics with dbt and AI](https://www.getdbt.com/blog/sweetgreen-conversational-analytics-dbt-ai.md): Sweetgreen built trustworthy conversational analytics by standardizing data and metrics with dbt and AI.
- [The role of the semantic layer in data governance and security](https://www.getdbt.com/blog/semantic-layer-data-governance-security.md): See how a semantic layer strengthens governance, security, and trusted analytics at scale.
- [Introducing ADE-bench: measuring how AI agents perform data work](https://www.getdbt.com/blog/ade-bench-dbt-data-benchmarking.md): Learn how ADE-bench leverages dbt to produce realistic data benchmarks against all popular LLMs and agents.
- [29%+ warehouse savings: How the dbt Fusion engine drives cost efficiency](https://www.getdbt.com/blog/dbt-fusion-cost-efficiency.md): You’re probably overspending on data compute. We know we were. Here’s how we fixed it.
- [Closing the context gap: Cribl’s blueprint for trusted AI with dbt + Omni](https://www.getdbt.com/blog/cribl-dbt-omni-ai-analytics.md): AI analytics fail without context. See how Cribl solved this to deliver trusted, AI-powered insights to 700+ users.
- [Incorporating version control into data analytics](https://www.getdbt.com/blog/version-control-data-analytics.md): Version control brings reliability, collaboration, and accountability to analytics workflows as data teams scale.
- [Data transformation vs. Data modeling: Key differences](https://www.getdbt.com/blog/data-transformation-vs-data-modeling.md): Explore the difference between data transformation and modeling—and how both shape scalable analytics.
- [Finding your people in data (and building a community that actually sticks)](https://www.getdbt.com/blog/finding-your-people-in-data.md): The View on Data explores how data leaders find community, rethink mentorship, and build connections.
- [AI agents and the data lake](https://www.getdbt.com/blog/ai-agents-and-the-data-lake.md): Lauren Anderson, the head of Okta's enterprise data platform, on why central governance and the semantic layer are so essential.
- [Understanding LSP: What it is, and what you can use it for](https://www.getdbt.com/blog/language-server-protocol.md): Learn how the Language Server Protocol (LSP) works and how it enables smarter code editing.
- [The dbt community chronicle: December 2025](https://www.getdbt.com/blog/the-dbt-community-chronicle-december-2025.md): 2025 reflections, Community Awards, tools, top discussions, plus the 2026 State of Analytics Engineering survey.
- [Cloud vs on-premise data transformation](https://www.getdbt.com/blog/cloud-data-transformation.md): Compare cloud and on-premise data transformation to choose the model that fits your team’s performance, security, and cost needs.
- [What’s new in dbt - December 2025](https://www.getdbt.com/blog/whats-new-in-dbt-december-2025.md): Catch up on the latest in dbt: from Fusion and AI updates to Core 1.11 previews and new partner integrations.
- [dbt Labs expands ISO certifications](https://www.getdbt.com/blog/dbt-labs-expands-iso-certifications.md): dbt Labs expands ISO certifications with new standards for cloud security, privacy protection, and AI governance.
- [How Stora Enso enables autonomous data teams with dbt](https://www.getdbt.com/blog/how-stora-enso-enables-autonomous-data-teams-with-dbt.md): Stora Enso cut data delivery times from months to days by decentralizing operations with dbt
- [Inside Snowflake’s AI roadmap](https://www.getdbt.com/blog/inside-snowflakes-ai-roadmap.md): Chris Child, Snowflake's VP of Product Management, on the vision for open table formats and the future of the data engineer.
- [Scale reliable analytics in the AI era with dbt and Databricks](https://www.getdbt.com/blog/reliable-analytics-dbt-databricks.md): Here’s why standards don’t matter when it comes to unlocking data siloes and fueling the agentic AI future.
- [Bring structured context to agentic data development with dbt](https://www.getdbt.com/blog/bring-structured-context-to-agentic-data-development-with-dbt.md): Make data development with agents safe, cost-efficient, and scalable with dbt structured context and MCP server.
- [Bring structured context to conversational analytics with dbt](https://www.getdbt.com/blog/bring-structured-context-to-conversational-analytics-with-dbt.md): Make conversational analytics trustworthy with dbt as your foundation.
- [Why AI raises the bar for data cleaning](https://www.getdbt.com/blog/ai-clean-data-requirements.md): AI amplifies dirty data. Learn why modern systems require scalable, automated cleaning logic for trustworthy model outcomes.
- [Using state-aware orchestration to slash your data costs](https://www.getdbt.com/blog/using-state-aware-orchestration-to-slash-your-data-costs.md): Why run a job when there’s no new data? Here’s how state-aware orchestration in the dbt Fusion engine saves you money.
- [Reducing ETL licensing costs with the dbt Fusion engine](https://www.getdbt.com/blog/reducing-etl-licensing-costs.md): dbt can already save you a lot on traditional ETL processing costs. Here’s how the dbt Fusion engine saves even more.
- [Building a multimodal lakehouse for AI](https://www.getdbt.com/blog/building-a-multimodal-lakehouse-for-ai.md): Chang She, the CEO of LanceDB, and Tristan Handy go deep into the bridge between analytics and AI engineering.
- [What is a data observability platform?](https://www.getdbt.com/blog/data-observability-platform.md): A data observability platform helps teams monitor data quality, performance, and reliability across modern pipelines.
- [AI readiness: How to assess and improve](https://www.getdbt.com/blog/ai-readiness.md): How to build the data foundation needed for shipping scalable, trustworthy AI workloads.
- [dbt Labs Expands dbt Fusion Engine Ecosystem with Microsoft Fabric Integration](https://www.getdbt.com/blog/dbt-labs-integrates-dbt-fusion-engine-in-microsoft-fabric.md): dbt Labs deepens its collaboration with Microsoft and enables faster, more governed data transformations in Data Factory
- [Modeling for success: Building data structures that last](https://www.getdbt.com/blog/modeling-success-dbt.md): How to choose the correct data models for a successful, scalable data transformation architecture.
- [Talk to your data: AI-powered conversational analytics with the dbt MCP server](https://www.getdbt.com/blog/dbt-mcp-server-conversational-analytics.md): Learn how one company enabled AI-powered data conversations with the dbt MCP Server and Semantic Layer.
- [Automating data transformations for scalable analytics](https://www.getdbt.com/blog/automating-data-transformation.md): Automate your data transformations to speed delivery, ensure quality and scale with confidence.
- [What is data pipeline observability?](https://www.getdbt.com/blog/data-pipeline-observability.md): Discover how data pipeline observability improves system trust, performance, and troubleshooting in modern ELT stacks.
- [What is data infrastructure and how to design it](https://www.getdbt.com/blog/data-infrastructure.md): Use dbt to design and modernize your data infrastructure for AI-powered analytics.
- [How to find balance in data work (and prevent burnout before it finds you)](https://www.getdbt.com/blog/how-to-find-balance-in-data-work.md): The View on Data hosts share real stories about burnout, boundaries, and finding balance in data careers.
- [How AI is changing the analytics stack](https://www.getdbt.com/blog/how-ai-is-changing-the-analytics-stack.md): AI is transforming how enterprises analyze data to reduce silos, boost access, and enable agentic analytics.
- [What are the benefits of data observability?](https://www.getdbt.com/blog/benefits-of-data-observability.md): Learn how data observability reduces costs, boosts trust, and enables faster decisions with resilient data systems.
- [What is Snowflake Intelligence anyway?](https://www.getdbt.com/blog/what-is-snowflake-intelligence-anyway.md): Conversational AI is only as good as your data. Here’s why dbt is foundational to Snowflake Intelligence.
- [Speed, simplicity, cost savings: Experience the dbt Fusion engine](https://www.getdbt.com/blog/dbt-fusion-experience.md): How dbt Fusion can save your organization time—and shave up to 29% off your data spend.
- [Key components of data governance](https://www.getdbt.com/blog/key-components-of-data-governance.md): A practical breakdown of the key components of data governance and how they support trust, scale, and AI‑ready data.
- [AI unlock: Empowering future-ready analysts](https://www.getdbt.com/blog/ai-unlock-empowering-future-ready-analysts.md): AI isn’t replacing analysts—it’s elevating them into strategic, future-ready decision accelerators.
- [The governance gap: How shadow AI is already reshaping analytics](https://www.getdbt.com/blog/the-governance-gap-how-shadow-ai-is-already-reshaping-analytics.md): Shadow AI is on the rise, and it's reshaping how analytics teams work, govern, and take risks with data.
- [Data transformation in the data warehouse](https://www.getdbt.com/blog/data-transformation-in-data-warehouse.md): Why transformation matters in the warehouse—and how dbt makes it modular, testable, and scalable.
- [Main uses of data integration tools](https://www.getdbt.com/blog/main-uses-of-data-integration-tools.md): Explore how data integration tools consolidate data, power real‑time and governance use cases, and enable analytics across teams.
- [Coalesce 2025: Rewriting the future of data, analytics, and AI](https://www.getdbt.com/blog/coalesce-2025-rewriting-the-future.md): Coalesce 2025 highlights how Fusion, AI, and state-aware orchestration are rewriting data workflows for speed, trust, and savings.
- [dbt Labs Affirms Commitment to Open Semantic Interchange by Open Sourcing MetricFlow](https://www.getdbt.com/blog/dbt-labs-affirms-commitment-to-open-semantic-interchange-by-open-sourcing-metricflow.md): dbt Labs is open-sourcing MetricFlow with an Apache 2.0 license, a significant step towards advancing trustworthy AI.
- [dbt Labs Delivers Significant Cost Optimization Results and Agentic AI Features, Powered by Fusion](https://www.getdbt.com/blog/dbt-labs-cost-optimization-agentic-ai-product-announcements.md): Double-digit compute spend reductions and a new suite of goverened AI agents among new features announced at Coalesce 2025
- [Announcing dbt Agents and the remote dbt MCP Server: Trusted AI for analytics](https://www.getdbt.com/blog/dbt-agents-remote-dbt-mcp-server-trusted-ai-for-analytics.md): Introducing new AI agent capabilities to speed up your analytics lifecycle.
- [Announcing open source MetricFlow: Governed metrics to power trustworthy AI and agents](https://www.getdbt.com/blog/open-source-metricflow-governed-metrics.md): Open source MetricFlow delivers governed, portable metrics to power accurate AI, analytics, and agent workflows.
- [State-aware orchestration now in Preview for Fusion projects](https://www.getdbt.com/blog/announcing-state-aware-orchestration.md): Intelligent pipelines that save time and money—state-aware orchestration now in Preview for dbt Fusion projects.
- [Reverse ETL vs ETL: What's the real difference?](https://www.getdbt.com/blog/reverse-etl-vs-etl.md): Reverse ETL syncs data back into tools for action. It’s not just ETL in reverse—here’s how it’s different and when to use it.
- [dbt Labs + Fivetran: Open data infrastructure for analytics and AI](https://www.getdbt.com/blog/dbt-labs-and-fivetran-merge-announcement.md): Why we’re joining forces with Fivetran to build the future
- [Fivetran and dbt Labs Unite to Set the Standard for Open Data Infrastructure](https://www.getdbt.com/blog/dbt-labs-and-fivetran-sign-definitive-agreement-to-merge.md): Together, Fivetran and dbt are simplifying enterprise data management with a unified foundation.
- [The era of open data infrastructure](https://www.getdbt.com/blog/dbt-labs-and-fivetran-product-vision.md): Why the dbt + Fivetran merger is the inflection point for AI, Iceberg, and the enterprise
- [What is open data infrastructure? How is it different from the modern data stack?](https://www.getdbt.com/blog/what-is-open-data-infrastructure.md): And why we think it’s the right evolution for our industry in the age of Iceberg and AI
- [From Informatica to dbt: A migration path to an AI-ready data control plane](https://www.getdbt.com/blog/informatica-dbt-data-control-plane-ai.md): How to migrate off the legacy ETL data pipelines that are bogging down your business and stifling your AI initiatives.
- [How governed self-service helps analysts move faster without losing trust](https://www.getdbt.com/blog/how-governed-self-service-helps-analysts-move-faster-without-losing-trust.md): Empower analysts with governed self-service to ship insights faster without breaking data quality, trust, or compliance.
- [Why governed collaboration is the key to modern analytics workflows](https://www.getdbt.com/blog/why-governed-collaboration-is-the-key-to-modern-analytics-workflows.md): Unlock faster analytics with governed collaboration. Streamline data workflows without sacrificing trust or governance.
- [The hidden tax on analysts](https://www.getdbt.com/blog/the-hidden-tax-on-analysts.md): A new report with the Harris Poll shows analysts lose $21K/year to inefficiencies. Learn how AI workflows reverse the trend.
- [How to make data-driven decisions (without being a perfectionist)](https://www.getdbt.com/blog/how-to-make-data-driven-decisions.md): The View on Data explores how to make confident, data-driven decisions, even when your data isn’t perfect.
- [Data engineering best practices: What's new?](https://www.getdbt.com/blog/modern-data-engineering-best-practices.md): Four big shifts in data engineering that are reshaping how teams build trusted, scalable pipelines for AI and analytics.
- [Getting started with an ELT pipeline](https://www.getdbt.com/blog/elt-pipeline.md): Learn how to build ELT pipelines that combine extraction, loading and transformation using cloud warehouses and dbt.
- [What AI data engineers actually do](https://www.getdbt.com/blog/ai-data-engineer-tasks.md): See how data engineers are shifting from pipelines to platforms, leveraging AI for testing, documentation, and enablement.
- [Building an AI-ready data platform that supports generative AI](https://www.getdbt.com/blog/ai-ready-platform-generative-ai.md): Here’s how to build a data architecture that scales to meet the needs of modern AI-powered applications.
- [Rewrite your career at Coalesce 2025](https://www.getdbt.com/blog/rewrite-your-career-at-coalesce-2025.md): Rewrite your data story at Coalesce 2025, where the dbt community builds the future of analytics together.
- [Common data transformations used in ETL processes](https://www.getdbt.com/blog/data-transformation-types.md): Discover the major transformation types used in analytics pipelines and how each contributes to trusted, scalable data products.
- [Why moving from stored procedures to dbt drives trust, talent, and AI-readiness](https://www.getdbt.com/blog/why-moving-from-stored-procedures-to-dbt-drives-trust-talent-and-ai-readiness.md): Migrating from stored procedures to dbt boosts trust, talent, and AI-readiness, for faster, more efficient data transformation.
- [How to reduce your data pipeline tech support burden](https://www.getdbt.com/blog/reduce-tech-support-data-pipelines.md): Are your data teams turning into tech support teams? Here’s a more scalable approach to running your data pipelines.
- [How data engineering drives business transformation](https://www.getdbt.com/blog/data-engineering-drives-business-transformation.md): Data engineering fuels business transformation by scaling analytics, enabling AI, and making trusted data accessible to everyone.
- [How to work smarter (not harder) in data](https://www.getdbt.com/blog/how-to-work-smarter-not-harder-in-data.md): Women in data share real stories and advice for working smarter—not harder—on The View on Data podcast.
- [What to expect from sessions at Coalesce 2025](https://www.getdbt.com/blog/what-to-expect-from-sessions-at-coalesce-2025.md): Rewrite your future. This is where the most impactful data conversations happen.
- [ETL is over: faster, smarter pipelines with dbt](https://www.getdbt.com/blog/etl-is-over-faster-smarter-pipelines-with-dbt.md): Learn how Tredence and dbt accelerate migration from legacy ETL to trusted, scalable analytics with speed and lower cost.
- [Inside the dbt Canvas Ambassador Program](https://www.getdbt.com/blog/dbt-canvas-ambassador-program.md): The dbt Canvas Ambassador Program helps teams adopt dbt Canvas faster with hands-on practice, feedback, and shared best practices.
- [Agentic coding in analytics engineering](https://www.getdbt.com/blog/agentic-coding-in-analytics-engineering.md): Mikkel Dengsøe, the cofounder of SYNQ, discusses his tests (and tips) with agentic coding tools.
- [From traditional to AI data engineering: What's different?](https://www.getdbt.com/blog/traditional-to-ai-data-engineering.md): Learn how AI is changing how data engineers work—from routine tasks to strategic roles in modern data stacks.
- [Scaling FinOps at Workday: Turning fragmented cloud costs into actionable insights](https://www.getdbt.com/blog/scaling-finops-at-workday.md): How Workday cut cloud costs with a custom FinOps platform built on dbt, Lightdash, Trino, and Delta Lake.
- [dbt Labs Is Named to the 2025 Forbes Cloud 100](https://www.getdbt.com/blog/dbt-labs-named-to-2025-forbes-cloud-100.md): dbt Labs has been named to the 2025 Forbes Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
- [What AI really means for data engineering workflows](https://www.getdbt.com/blog/ai-tools-data-engineering-efficiency.md): See how AI assistants are cutting time for data engineers—from code generation to testing—and what still requires human oversight.
- [How data cleaning boosts transformation quality and reliability](https://www.getdbt.com/blog/data-cleaning-transformation-quality.md): Discover how to improve quality and maintain trust in your data workflows.
- [Overcoming impostor syndrome in tech](https://www.getdbt.com/blog/overcoming-impostor-syndrome-in-tech.md): Women in data share real stories and advice for managing impostor syndrome in tech on The View on Data podcast.
- [Building resilience: Observability for modern data teams](https://www.getdbt.com/blog/data-observability.md): Explore how dbt and observability tools like Monte Carlo help data teams improve reliability, performance, and trust at scale.
- [Collaborative analytics engineering: A guide to scalable development](https://www.getdbt.com/blog/collaborative-analytics-engineering.md): Discover how dbt supports scalable, collaborative analytics engineering with modular code, testing, and cross-team workflows.
- [Under the hood of Apache Iceberg](https://www.getdbt.com/blog/under-the-hood-of-apache-iceberg.md): Christian Thiel, the cofounder of Lakekeeper, walks through the state of the Iceberg ecosystem.
- [Aligning data strategy with business objectives: challenges & solutions](https://www.getdbt.com/blog/align-data-strategy-business-objectives.md): How to bridge the gap between data and business strategy—tackle silos, inconsistent metrics & scale with modern practices.
- [Enterprise data governance strategy: The essential elements](https://www.getdbt.com/blog/enterprise-data-governance-strategy-elements.md): See how dbt helps enterprises scale governance across teams and systems—built for AI, quality, and collaboration.
- [Build reliable AI agents with the dbt MCP Server](https://www.getdbt.com/blog/build-reliable-ai-agents-with-the-dbt-mcp-server.md): Learn how to build reliable AI agents with dbt MCP Server by connecting them to governed context from your dbt projects.
- [dbt Labs Launches Reimagined Global Partner Ecosystem Program to Accelerate Strategic Growth](https://www.getdbt.com/blog/dbt-labs-launches-reimagined-global-partner-ecosystem-program.md): New partner tiers, go-to-market alignment, and enablement investments accelerate momentum across the partner ecosystem
- [Fusion and the dbt VS Code extension are now in Preview for local development](https://www.getdbt.com/blog/fusion-and-dbt-vs-code-extension-preview-launch.md): Get lightning-fast, next-gen development for your local environment
- [How to start a career in data](https://www.getdbt.com/blog/how-to-start-a-career-in-data.md): Learn how to start and grow your data career with stories and advice from five women in data on The View on Data podcast.
- [Do you need a data integration platform?](https://www.getdbt.com/blog/data-integration-platform.md): How data integration platforms support ingestion and how dbt enhances reliability with testing, documentation, and versioning.
- [dbt Labs offers 45-day Enterprise free trial via Startup Perks program from Google Cloud](https://www.getdbt.com/blog/enterprise-free-trial-startup-perks-program-google-cloud.md): Get a 45-day free dbt Enterprise trial for Google Cloud Scale Tier startups to accelerate analytics and data governance.
- [How to ensure data product SLAs and SLOs](https://www.getdbt.com/blog/data-product-slas-and-slos.md): How to implement SLAs & SLOs for data products—covering quality dimensions, monitoring, governance and continuous improvement.
- [Best of both worlds: dbt + Databricks Lakeflow Jobs](https://www.getdbt.com/blog/dbt-databricks-jobs.md): Orchestrate dbt jobs in Databricks Lakeflow to unify data, AI, and ML workflows for faster, trusted pipeline delivery.
- [Why you should care about data transformation](https://www.getdbt.com/blog/why-data-transformation-matters.md): Here’s how transformation makes your analytics reliable, scalable, and trusted across the business.
- [Federated data governance: What makes it different?](https://www.getdbt.com/blog/federated-data-governance.md): Explore how federated data governance works—and how dbt turns principles into scalable, self-serve practices across domains.
- [Here’s why you (and your team) should attend Coalesce 2025](https://www.getdbt.com/blog/here-s-why-you-and-your-team-should-attend-coalesce-2025.md): Coalesce 2025 is the ultimate offsite for your team.
- [From stored procedures to dbt: A modern migration playbook](https://www.getdbt.com/blog/stored-procedures-dbt-migration-playbook.md): Stored procedures are holding back your data teams. Here’s how to migrate to dbt for better scalability, reliability, and quality.
- [The dbt Fusion engine public beta is now available on Redshift](https://www.getdbt.com/blog/dbt-fusion-engine-public-beta-redshift.md): The dbt Fusion engine is now in public beta for Redshift—experience faster workflows, smarter orchestration, and cost savings.
- [The pragmatic guide to AI agents in the enterprise](https://www.getdbt.com/blog/pragmatic-guide-to-ai-agents-enterprise.md): Demystifying AI agents with Sean Falconer, Confluent's senior director of AI strategy.
- [Who should own the data transformation layer?](https://www.getdbt.com/blog/data-transformation-layer-ownership.md): Compare data team ownership, analytics ownership and hybrid models for modern data systems.
- [MCP Servers: How to prepare your data](https://www.getdbt.com/blog/mcp-servers.md): A guide to how MCP Servers work and how to curate data ready for real-time data access via agentic AI.
- [How to solve data SLA challenges in modern pipelines](https://www.getdbt.com/blog/data-sla-challenges-guide.md): Data SLAs define expectations for freshness and quality—this guide helps you meet them in modern, complex data environments.
- [dbt Labs Signs Strategic Collaboration Agreement with AWS](https://www.getdbt.com/blog/dbt-labs-expands-signs-strategic-collaboration-agreement-with-aws.md): The dbt Labs and AWS strategic collaboration agreement will deepen technical integrations and expand AWS Marketplace availability.
- [Modernize self-service analytics with dbt](https://www.getdbt.com/blog/modernize-self-service-analytics-dbt.md): Self-service analytics has, so far, failed to deliver. Here’s how dbt addresses the gaps and delivers collaboration without chaos.
- [What’s new in dbt - July 2025](https://www.getdbt.com/blog/whats-new-in-dbt-july-2025.md): Get the scoop on all the latest features that just landed in dbt.
- [Building trust through automated data testing](https://www.getdbt.com/blog/build-trust-through-data-testing.md): Learn how automated testing improves data quality, enables faster incident response, and builds trust with business users.
- [Building reliable data pipelines](https://www.getdbt.com/blog/building-reliable-data-pipelines.md): A foundational guide to reliable, scalable data pipelines using dbt, modular design, and end-to-end quality best practices.
- [How Amazon S3 works](https://www.getdbt.com/blog/how-amazon-s3-works.md): Go under the hood of Amazon S3 with AWS engineering leader Andy Warfield—from virtualization to Iceberg.
- [Cost-cutting strategies for Amazon Redshift](https://www.getdbt.com/blog/amazon-redshift-cost-cutting.md): Learn how to reduce Redshift costs with smarter pricing, efficient transformations, and dbt Fusion’s cost-aware features.
- [Who should own the semantic layer?](https://www.getdbt.com/blog/semantic-layer-ownership.md): Semantic layer ownership depends on your org’s size, needs, and tools—but one team shouldn’t own everything. Here’s why.
- [How dbt and Tableau bring better governance to analytics](https://www.getdbt.com/blog/dbt-tableau-trust-analytics.md): Self-service data can create a “data Wild West.” Here’s how to tame it using dbt and Tableau.
- [How Roche unified global data, enabled AI at scale, and improved operational efficiency](https://www.getdbt.com/blog/roche-unifies-data-enables-ai.md): Roche unifies global data with dbt, enabling AI at scale and cutting costs by 70% across 80+ countries.
- [Virgin Media O2 rebuilds its data stack and speeds up the customer experience](https://www.getdbt.com/blog/virgin-media-o2-modernizes-data-stack.md): Virgin Media O2 modernizes its data stack with dbt, slashing call wait times and boosting NPS by 26%.
- [Modern deployment strategies for analytics workflows](https://www.getdbt.com/blog/modern-deployment-strategies-for-analytics-workflows.md): Learn how to modernize your analytics deployment strategy using CI/CD, testing, and dbt to deliver trusted data.
- [Iceberg Ahead: dbt now supports Apache Iceberg tables in BigQuery](https://www.getdbt.com/blog/dbt-supports-apache-iceberg-tables-bigquery.md): Materialize Apache Iceberg tables in BigQuery with dbt—unlock open formats, cross-engine access, and AI-ready data lakes.
- [Life after Talend and Informatica: Migrating to the future of data](https://www.getdbt.com/blog/talend-informatica-migration.md): Legacy ETL systems are holding back your AI initiatives. How to migrate to a modern solution in months, not years.
- [Guide to AI data products](https://www.getdbt.com/blog/guide-to-ai-data-products.md): This guide covers what AI data products are, why they matter, and how to design them for business impact.
- [Tracking data transformations: Best practices & tools](https://www.getdbt.com/blog/tracking-data-transformations.md): Gain visibility into your transformation layer to build trust and scalability in your analytics pipeline.
- [dbt Labs on dbt: Building the habit of cost-aware data development](https://www.getdbt.com/blog/building-the-habit-of-cost-aware-data-development.md): How the dbt Labs team uses dbt to build a habit of cost-aware development and cut data platform spend.
- [The dbt Fusion engine public beta is now available on BigQuery](https://www.getdbt.com/blog/dbt-fusion-engine-public-beta-bigquery.md): Launching more platform and feature support on the path towards GA.
- [Data product management: Best practices](https://www.getdbt.com/blog/data-product-management.md): Explore best practices for data product management—and how dbt helps teams create governed, scalable, and trusted data assets.
- [Empowering analysts with dbt: Who they are and how we help](https://www.getdbt.com/blog/empowering-analysts-with-dbt.md): See how dbt empowers analysts of all skill levels to turn ad hoc work into trusted, production-ready data products.
- [What are the best ELT tools?](https://www.getdbt.com/blog/best-elt-tools.md): Explore top ELT tools and see how dbt adds structure, testing, and documentation to transform raw data into reliable insights.
- [Empowering the enterprise for the next era of AI and BI](https://www.getdbt.com/blog/empowering-enterprise-ai-bi.md): Unlock faster and smarter data workflows with the new dbt Fusion engine, built for AI-native development and enterprise scale.
- [Analyst autonomy vs data governance: How to have both](https://www.getdbt.com/blog/analysts-autonomy-data-governance.md): Data teams are overloaded. Here’s how to give analysts self-service options without sacrificing security and compliance.
- [From Docker to Dagger](https://www.getdbt.com/blog/from-docker-to-dagger.md): Solomon Hykes, the creator of Docker, on how containers changed everything.
- [How to move from manual to test-driven analytics](https://www.getdbt.com/blog/test-driven-analytics-workflow.md): Explore how dbt helps data teams adopt test-driven analytics with integrated testing, CI workflows, and data quality enforcement.
- [The role of data governance frameworks in modern organizations](https://www.getdbt.com/blog/data-governance-framework.md): Explore how governance frameworks help large organizations manage data quality, security, and compliance at scale.
- [Data science vs. data engineering: Defining the difference](https://www.getdbt.com/blog/data-science-vs-data-engineering.md): Data science and data engineering serve different roles—see how dbt connects them through shared standards, testing, and lineage.
- [How to design a scalable cloud data architecture](https://www.getdbt.com/blog/designing-scalable-cloud-architecture.md): Build a cloud data architecture that scales—modular, centralized, and designed for change. Here’s how to do it right.
- [dbt Labs on dbt: Why this analyst is obsessed with dbt Insights](https://www.getdbt.com/blog/why-this-analyst-is-obsessed-with-dbt-insights.md): Why dbt Insights is this analyst’s go-to for faster, in-context data discovery—no more tab hopping required.
- [Best practices for data engineering](https://www.getdbt.com/blog/data-engineering.md): Learn how to build scalable, resilient data pipelines with modern data engineering tools, workflows, and best practices.
- [Understanding MCP: The missing glue between governed data and AI agents](https://www.getdbt.com/blog/mcp.md): The dbt MCP Server gives AI agents governed access to metrics, lineage, and models—bridging the gap between LLMs and trusted data.
- [The dbt Fusion engine shows up at 2025 Databricks Data + AI Summit](https://www.getdbt.com/blog/the-dbt-fusion-engine-shows-up-at-2025-databricks-data-ai-summit.md): Fusion for Databricks: faster development, lower costs, and smarter AI-ready data workflows with dbt
- [Risks of a poorly designed semantic layer — and how to avoid them](https://www.getdbt.com/blog/semantic-layer-pitfalls.md): A poorly designed semantic layer can slow performance, cause metric chaos, and bring governance headaches. Learn what to avoid.
- [Snowflake data transformation architecture & performance](https://www.getdbt.com/blog/snowflake-data-transformation-architecture.md): How to design and optimize transformation workloads in Snowflake: materializations, cost control, governance, and modern tooling.
- [Data transformation on Databricks: Best practices with dbt](https://www.getdbt.com/blog/data-transformation-dbt-databricks.md): Databricks and dbt combine for scalable, governed transformation.
- [How dbt enhances your Snowflake data stack](https://www.getdbt.com/blog/snowflake-dbt.md): Already using Snowflake? Here’s why dbt adds the structure, testing, and workflow automation needed to scale with speed and trust.
- [Databricks users, get ready to experience the new dbt Fusion engine](https://www.getdbt.com/blog/databricks-users-get-ready-to-experience-the-new-dbt-fusion-engine.md): Fusion is here for Databricks: welcome to the new era of analytics engineering.
- [What are the key roles in data governance?](https://www.getdbt.com/blog/data-governance-key-roles.md): Learn who’s responsible for data governance—from CDOs and stewards to engineers and business stakeholders.
- [The history and future of the data ecosystem](https://www.getdbt.com/blog/the-history-and-future-of-the-data-ecosystem.md): Mainframes, relational databases, ETL, Hadoop, the cloud, and all of it with Lonne Jaffe of Insight Partners.
- [Fresh pow: Snowflake Summit 2025 was as satisfying as first tracks](https://www.getdbt.com/blog/snowflake-summit-2025-recap.md): Snowflake Summit attendees got a first look at the new dbt Fusion engine, which will power Snowflake’s dbt Projects.
- [The changing role of the analyst: Getting closer to the data source](https://www.getdbt.com/blog/data-analyst-closer-to-data.md): Data analysts are being asked to do more than ever. Here’s how they can deliver higher-quality, well-governed data faster.
- [Aligning analytics initiatives to broader business strategies](https://www.getdbt.com/blog/align-analytics-to-business-strategies.md): Analytics success begins with business objectives. Align your work, embed in domains, and move from insights to impact.
- [dbt Labs Named Snowflake Monetization Data Cloud Product Partner of the Year](https://www.getdbt.com/blog/dbt-labs-named-snowflake-monetization-data-cloud-product-partner-of-the-year.md): Snowflake selected dbt Labs as a Snowflake partner award winner for the third consecutive year
- [Houston Food Bank improves fundraising and donor outreach by modernizing its data layer](https://www.getdbt.com/blog/houston-food-bank-dbt.md): How Houston Food Bank scaled impact and unlocked insights with dbt—modernizing data to better serve 18 counties.
- [How The Philadelphia Inquirer increases productivity and enables self-service with the dbt Semantic Layer](https://www.getdbt.com/blog/philadelphia-inquirer-dbt-semantic-layer.md): How the Philadelphia Inquirer used the dbt Semantic Layer to enable self-service, reduce errors, and build trust in their data.
- [Unlocking analyst-driven data transformation: dbt Canvas is GA](https://www.getdbt.com/blog/dbt-canvas-is-ga.md): Empower analysts without sacrificing governance. Welcome to the ADLC on your terms.
- [Get to know the new dbt Fusion engine and VS Code Extension](https://www.getdbt.com/blog/get-to-know-the-new-dbt-fusion-engine-and-vs-code-extension.md): The all-new dbt Fusion engine and the dbt VS Code Extension are now in public beta.
- [Where we're headed with the dbt Fusion engine](https://www.getdbt.com/blog/where-we-re-headed-with-the-dbt-fusion-engine.md): Paving the way for the next era
- [dbt Labs Launches AI-Powered Features to Onboard Data Analysts into dbt](https://www.getdbt.com/blog/dbt-labs-launches-ai-powered-features-to-onboard-data-analysts-into-dbt.md): Analysts can now build, explore, and validate models leveraging the power of dbt.
- [New era, new engine, and new names](https://www.getdbt.com/blog/updated-names-for-dbt-platform-and-features.md): Understanding our new, simplified naming structure
- [dbt Labs Redefines dbt with New Fusion Engine, Built to Revolutionize Developer Experience in the Age of AI](https://www.getdbt.com/blog/dbt-labs-redefines-dbt-with-new-fusion-engine.md): New engine enables faster analytics delivery, lower cloud costs, and trusted data pipelines built for AI at scale
- [dbt Launch Showcase 2025 recap](https://www.getdbt.com/blog/dbt-launch-showcase-2025-recap.md): New features in dbt empower organizations to scale analytics for the age of AI
- [New code, new license: Understanding the new license for the dbt Fusion engine](https://www.getdbt.com/blog/new-code-new-license-understanding-the-new-license-for-the-dbt-fusion-engine.md): The philosophy behind our new license
- [What is data governance?](https://www.getdbt.com/blog/data-governance.md): Explore the key pillars and tools driving modern data governance—from quality and compliance to AI-readiness.
- [Everything terminals](https://www.getdbt.com/blog/everything-terminals.md): The universal integration layer...the command line? Tristan talks terminals with Zach Lloyd, the founder of Warp.
- [How to solve data collaboration challenges at scale](https://www.getdbt.com/blog/solving-data-collaboration-challenges.md): Learn how to scale collaboration across teams and tools by standardizing workflows and aligning producers and consumers.
- [dbt and Google Cloud: What’s new and what’s next](https://www.getdbt.com/blog/dbt-google-cloud-integration.md): How dbt data engineers and data scientists can leverage BigQuery easily today - and a sneak peek of what’s to come.
- [Who is responsible for data governance?](https://www.getdbt.com/blog/data-governance-ownership.md): Governance isn’t just a team—it’s everyone’s job. Learn which roles own what parts of data governance today.
- [How to build reliable data pipelines with data quality checks](https://www.getdbt.com/blog/data-pipeline-quality-checks.md): A guide to implementing data quality checks across pipelines, plus how dbt can help automate testing, alerting, and documentation.
- [Introducing the New Cloud Architect Certification](https://www.getdbt.com/blog/introducing-the-new-cloud-architect-certification.md): dbt Labs has launched its latest certification exam, the Cloud Architect Certification.
- [The state of analytics engineering in 2025: A summary](https://www.getdbt.com/blog/state-of-analytics-engineering-2025-summary.md): Discover key trends shaping analytics engineering in 2025—from AI adoption to data trust and evolving team roles.
- [Automating your ETL: A guide to improved efficiency](https://www.getdbt.com/blog/automating-your-etl.md): ETL automation can streamline data workflows, improve accuracy, and support scalable data infrastructure in modern organizations.
- [Do you really need ETL tools for data transformation?](https://www.getdbt.com/blog/data-transformation-without-etl.md): You don’t need ETL tools to transform data. Explore SQL, scripts, and modern ELT approaches for flexible transformation.
- [How dbt enhances your Redshift data stack](https://www.getdbt.com/blog/redshift-dbt.md): Redshift is powerful. dbt adds structure, testing, and governance to help your team scale analytics with speed and confidence.
- [The next era of analytics: How AI is changing the game](https://www.getdbt.com/blog/analytics-next-era.md): How will AI change analytics and data transformation? dbt Labs CTO Mark Porter offers his insights.
- [The essential skills for data engineers in 2025](https://www.getdbt.com/blog/data-engineer-skills-2025.md): Discover the core skills that define successful data engineers in 2025—from SQL to AI-powered workflows.
- [Why compilers matter](https://www.getdbt.com/blog/why-compilers-matter.md): We continue our season on developer experience by looking at compilers with the SDF Labs cofounder, Lukas Schulte.
- [Docusign’s path to 40% cost savings and 60% increased productivity](https://www.getdbt.com/blog/modernizing-data-at-scale-docusign-s-path-to-40-cost-savings-and-60-increased-productivity.md): Discover how DocuSign modernized its data infrastructure with dbt.
- [How to get ready for the new dbt engine](https://www.getdbt.com/blog/how-to-get-ready-for-the-new-dbt-engine.md): The next-generation dbt engine is coming. Here's what you need to know.
- [Moving data teams from cost center to profit driver](https://www.getdbt.com/blog/cost-center-profit-driver-data-teams.md): Data is cheaper than ever, but it’s gotten harder to control costs. Here’s how data teams can grow without breaking the bank.
- [How to build trust in your data products](https://www.getdbt.com/blog/build-trust-in-data-products.md): Build confidence in your data products with metadata, governance, and clear product ownership that scales trust across your org.
- [DevOps meets DataOps: Streamlining analytics with dbt and Snowflake](https://www.getdbt.com/blog/devops-dataops-dbt-snowflake.md): Transform analytics workflows with DevOps for data. Automate testing, CI/CD, and deployments using dbt + Snowflake.
- [How analytics engineers can use AI in their everyday workflow](https://www.getdbt.com/blog/how-analytics-engineers-can-use-ai-in-their-everyday-workflow.md): Five powerful ways to bring AI into your dbt workflow without sacrificing quality.
- [The evolution of databases](https://www.getdbt.com/blog/evolution-of-databases.md): Wolfram Schulte, the cofounder and CTO of SDF Labs, now a part of dbt Labs, discusses databases, compilers, and dev tools.
- [ELT best practices for Databricks workflows](https://www.getdbt.com/blog/elt-best-practices-databricks.md): Explore ELT best practices on Databricks: layering architecture, SQL warehouses, delta optimizations, and dbt integration.
- [Data engineering tools: How do they fit together?](https://www.getdbt.com/blog/data-engineering-tools.md): Explore how modern data engineering tools work together to power reliable pipelines—with dbt at the core of transformation.
- [ELT best practices for Snowflake workflows](https://www.getdbt.com/blog/elt-best-practices-snowflake.md): Learn ELT best practices for Snowflake: staging patterns, warehouse strategy, dbt integration, and performance tuning.
- [AI data pipelines: Critical components and best practices](https://www.getdbt.com/blog/ai-data-pipelines.md): Explore how to design AI-ready pipelines — and how dbt helps deliver high-quality data for scalable, intelligent AI systems.
- [Tableau Conference: Not even an earthquake could stop the fun](https://www.getdbt.com/blog/tableau-conference-recap-2025.md): Tableau was a blast and we're glad you came. See you next year!
- [M1 Finance powers AI self-service with Claude and dbt structured data](https://www.getdbt.com/blog/m1-finance-ai-self-service-claude-dbt.md): See how M1 Finance uses dbt’s structured data and Semantic Layer to fuel a self‑service chatbot delivering accurate AI insights.
- [AI is Driving a Surge in Data Budgets, According to New Report from dbt Labs](https://www.getdbt.com/blog/ai-driving-surge-in-data-budgets-2025-state-of-analytics-engineering.md): 2025 State of Analytics Engineering Report reveals how the demand for quality data to feed AI is fueling data team growth
- [Do you need a data orchestration platform?](https://www.getdbt.com/blog/data-orchestration-platform-necessary.md): Understand what orchestration platforms do and how to tell when your data pipelines are ready for one.
- [What’s new in dbt Cloud - April 2025](https://www.getdbt.com/blog/whats-new-in-dbt-cloud-april-2025.md): Get the scoop on all the latest features landing in dbt.
- [dbt Cloud 🤝 Google Cloud](https://www.getdbt.com/blog/dbt-cloud-google-cloud.md): dbt and Google Cloud expand both their product integrations and their stratgic partnership at Google Next.
- [dbt Labs Launches on Google Cloud and Google Cloud Marketplace to Power Data and AI Workflows](https://www.getdbt.com/blog/dbt-labs-launches-on-google-cloud-and-google-cloud-marketplace.md): Expanded Google partnership delivers new flexibility while enhanced BigQuery platform integration supports machine learning.
- [How to build scalable data pipelines with Snowflake and dbt](https://www.getdbt.com/blog/data-pipelines-snowflake-dbt.md): Build fast, scalable data pipelines with Snowflake and dbt—backed by AI, DevOps, and dynamic cost optimization.
- [How AI will disrupt BI as we know it](https://www.getdbt.com/blog/how-ai-will-disrupt-bi.md): A continuation-in-spirit from my recent post, “How AI will disrupt data engineering as we know it.”
- [How to reduce BigQuery costs without compromising performance](https://www.getdbt.com/blog/reduce-bigquery-costs.md): Learn how teams use dbt with BigQuery to reduce costs, improve performance, and scale analytics faster.
- [Creating reliable data products with analytics engineering](https://www.getdbt.com/blog/creating-reliable-data-products-with-analytics-engineering.md): Explore how companies can build dependable data products through analytics engineering with the Analytics Development Lifecycle.
- [How to reduce Snowflake costs without sacrificing performance](https://www.getdbt.com/blog/reduce-snowflake-costs.md): Learn how teams use dbt to optimize Snowflake costs across compute, storage, and code—without losing performance.
- [What should a data analytics workflow look like?](https://www.getdbt.com/blog/what-should-a-data-analytics-workflow-look-like.md): A modern analytics workflow is built like software: scalable, governed, and ready for business-critical decisions.
- [Improving analytics quality with the analytics development lifecycle](https://www.getdbt.com/blog/improving-analytics-quality-with-the-analytics-development-lifecycle.md): Treat analytics like software. The Analytics Development Lifecycle boosts data quality, trust, and speed—at scale.
- [Data integration: The 2025 guide for modern analytics teams](https://www.getdbt.com/blog/data-integration.md): A practical guide to modern data integration: techniques, architectures, tools, and why dbt is key to building scalable pipelines.
- [Iceberg?? Give it a REST](https://www.getdbt.com/blog/iceberg-give-it-a-rest.md): The new abstraction that changes nothing... and everything.
- [Data transformation: Overcoming common challenges](https://www.getdbt.com/blog/data-transformation-overcoming-common-challenges.md): Learn how to scale data transformation with modern platforms, consistent metrics, and engineering best practices.
- [Data pipelines: Critical components and best practices](https://www.getdbt.com/blog/data-pipelines.md): Discover how to build modern, scalable data pipelines with dbt—from ingestion to analysis—with trust, governance, and efficiency.
- [How dbt improves your Tableau analytics workflows](https://www.getdbt.com/blog/tableau-dbt.md): Tableau helps you visualize data. dbt ensures it’s clean, consistent, and reliable before it hits your dashboards.
- [ETL vs data integration: Understanding the differences](https://www.getdbt.com/blog/etl-vs-data-integration.md): How do ETL and data integration work together? Understand the benefits of and differences between each.
- [Go fast without sacrificing quality: Everything we announced at dbt Developer Day](https://www.getdbt.com/blog/dbt-developer-day-2025.md): Get to know the latest features powering best-in-class developer experience for practitioners building in dbt
- [A new era of data engineering: dbt Copilot is GA](https://www.getdbt.com/blog/dbt-copilot-is-ga.md): Today marks a pivotal shift in data engineering—AI-powered, automated workflows built on deep metadata context are one click away
- [How AI will disrupt data engineering as we know it](https://www.getdbt.com/blog/how-ai-will-disrupt-data-engineering.md): It will be hard to compare data engineering in 2024 and data engineering in 2028 and say “those are the same things.”
- [Ensuring EU DORA compliance for financial services with dbt Cloud](https://www.getdbt.com/blog/ensuring-eu-dora-compliance-for-financial-services-with-dbt-cloud.md): dbt Cloud helps financial institutions improve operational resilience through data lineage, testing, and collaboration.
- [What are the steps involved in the data transformation process?](https://www.getdbt.com/blog/data-transformation-process-steps.md): How raw data becomes analytics‑ready through the crucial stages of transformation: discovery, cleansing, mapping and storage.
- [Agentic AI: What's needed from your data?](https://www.getdbt.com/blog/agentic-ai-data-requirements.md): To act smart, AI needs clean, structured data. Here’s how dbt helps prepare your data for agentic AI.
- [Understanding data transformation frameworks](https://www.getdbt.com/blog/data-transformation-frameworks.md): Learn more about what a data transformation framework is, what it includes, and how to select one that works across your business.
- [How to build and manage data SLAs for reliable analytics](https://www.getdbt.com/blog/data-slas-best-practices.md): Define, monitor, and improve data SLAs to build trust, reduce risk, and support business-critical analytics at scale.
- [Bring reliable data to every spreadsheet with the dbt Semantic Layer for Excel and Google Sheets](https://www.getdbt.com/blog/dbt-semantic-layer-excel-google-sheets.md): Learn how to keep your spreadsheets in sync, no matter the sprawl.
- [dbt Labs Surges Past $100 Million in Annual Recurring Revenue, Driven by Significant Adoption from Fortune 500 Companies](https://www.getdbt.com/blog/dbt-labs-100m-arr-milestone.md): More than 5,000 organizations rely on dbt Cloud to power enterprise data practices
- [Building reliable data products with dbt Cloud and SYNQ](https://www.getdbt.com/blog/building-reliable-data-products-with-dbt-cloud-and-synq.md): Instabee migrated critical models into dbt and reduced processing time from 8 hours to 1 hour for key models.
- [One dbt: Data collaboration built on trust with dbt Explorer](https://www.getdbt.com/blog/dbt-explorer-collaboration-trust.md): How to use dbt Explorer to bridge across different stakeholder’s needs, building trust and encouraging collaboration.
- [The power of a plan: How logical plans will impact modern data workflows](https://www.getdbt.com/blog/how-logical-plan-impact-modern-data-workflows.md): Investigating the benefits that come from using a compiler to power your development workflows.
- [Building the next-gen dbt engine: How SDF levels up data tooling](https://www.getdbt.com/blog/building-the-next-gen-dbt-engine.md): So dbt Labs acquired SDF Labs. What does that mean, exactly?
- [January dbt Community update](https://www.getdbt.com/blog/january-2025-dbt-community-update.md): Catch up on January's dbt Community highlights: AMAs, Meetups, Slack discussions, and more. Join the conversation today.
- [Building a data team from the beginning](https://www.getdbt.com/blog/building-a-data-team-from-the-beginning.md): Daniel Avancini discusses how fast-growing Indicium went from Brazilian beach town to global data consultancy.
- [dbt Labs on dbt: How our training team uses dbt Cloud](https://www.getdbt.com/blog/how-our-training-team-uses-dbt-cloud.md): See how our training team uses dbt Cloud to connect training data to business impact and prove the ROI of customer education.
- [Data integration software: How to choose](https://www.getdbt.com/blog/data-integration-software.md): Learn what to look for in modern data integration tools—from automation and transformations to security and scale.
- [Why your AI will fail without a semantic layer](https://www.getdbt.com/blog/why-your-ai-will-fail-without-a-semantic-layer.md): Is your data AI-ready? Learn why AI systems fail without constraints and how a semantic layer can help.
- [What's new in dbt Cloud - January 2025](https://www.getdbt.com/blog/whats-new-in-dbt-cloud-january-2025.md): The latest new features and integrations landing in dbt Cloud.
- [Data pipeline automation: Why it’s important](https://www.getdbt.com/blog/data-pipeline-automation.md): See how modern teams automate pipelines with dbt to deliver accurate, reliable data, without sacrificing speed or control.
- [DataOps vs data engineering: Which one do you need?](https://www.getdbt.com/blog/dataops-vs-data-engineering.md): Confused about DataOps vs data engineering? Learn what they mean, how they differ, and when to use each in your data workflows.
- [dbt Labs acquires SDF Labs to accelerate the dbt developer experience](https://www.getdbt.com/blog/dbt-labs-acquires-sdf-labs.md): New tech will significantly improve performance, enhance developer ergonomics, and bring rich new metadata to dbt.
- [Advancing the vision for the data control plane with SDF and dbt](https://www.getdbt.com/blog/advancing-the-data-control-plane-vision-with-sdf-and-dbt.md): Improve productivity, reduce costs, and eliminate risks with dbt Cloud.
- [dbt Labs Acquires SDF Labs to Introduce Robust SQL Comprehension into dbt and Supercharge Developer Efficiency](https://www.getdbt.com/blog/dbt-labs-announces-sdf-labs-acquisition.md): Technology integration will dramatically improve platform performance, developer efficiency and stakeholder trust.
- [Data engineering at Snowflake](https://www.getdbt.com/blog/data-engineering-at-snowflake.md): Rahul Jain gives us a look inside at the data work happening at Snowflake.
- [The Analytics Development Lifecycle: Discover and Analyze](https://www.getdbt.com/blog/adlc-discover-analyze.md): You’ve published your data project to production. But can your stakeholders find, use, and refine it?
- [The Analytics Development Lifecycle: Operate and Observe](https://www.getdbt.com/blog/adlc-operate-observe.md): Analytics projects don’t end once you ship a change to production. Here’s how to ensure your code keeps working as expected.
- [Building an ETL pipeline: Best practices](https://www.getdbt.com/blog/etl-pipeline-best-practices.md): Turn raw data into reliable insights with proven ETL and ELT best practices—plus how dbt helps teams scale quality and trust.
- [The Analytics Development Lifecycle: Deploy](https://www.getdbt.com/blog/adlc-deploy.md): How you can borrow techniques from software development to launch analytics code changes safely in production.
- [The Analytics Development Lifecycle: Test](https://www.getdbt.com/blog/adlc-test.md): High-quality data requires a test-driven culture. Here’s how it fits into a mature analytics workflow.
- [The Analytics Development Lifecycle: Develop](https://www.getdbt.com/blog/adlc-develop.md): Why the Develop phase of the Analytics Development Lifecycle is so critical to quality releases.
- [The intersection of UI, exploratory data analysis, and SQL](https://www.getdbt.com/blog/intersection-ui-exploratory-data-analysis-sql.md): Hamilton Ulmer from MotherDuck discusses the technologies driving data visualization today.
- [The Analytics Development Lifecycle: Plan](https://www.getdbt.com/blog/adlc-plan.md): Here’s how to perform planning as part of the ADLC.
- [How Moderna uses dbt Mesh to foster collaboration and streamline data engineering](https://www.getdbt.com/blog/moderna-dbt-mesh.md): Discover how Moderna uses dbt Mesh to connect data teams, enhance governance, and deliver life-saving medicines with precision.
- [How to scale analytics at your organization: Insights from data leaders](https://www.getdbt.com/blog/how-to-scale-analytics-at-your-organization.md): Explore practical strategies from data leaders for scaling analytics through transparency, aligned teams, and optimized tools.
- [One dbt: Accelerate data work with cross-platform dbt Mesh](https://www.getdbt.com/blog/one-dbt-cross-platform-data-mesh.md): How One dbt and dbt Mesh provide a consistent interface for working with data, no matter where in your business it lives.
- [Introducing release tracks for dbt version upgrades](https://www.getdbt.com/blog/introducing-release-tracks-for-dbt-version-upgrades.md): Upgrade to release tracks for more flexibility in how you get automatic dbt updates.
- [A decade of data evolution and 2025 predictions](https://www.getdbt.com/blog/2025-data-predictions.md): A fascinating 2024 is a precursor to a big 2025.
- [Learning dbt as an analyst](https://www.getdbt.com/blog/learning-dbt-as-an-analyst.md): Discover what two data analysts wish they'd known when starting with dbt. Learn how to simplify workflows and build trust in data.
- [dbt Core v1.9 is GA](https://www.getdbt.com/blog/dbt-core-v1-9-is-ga.md): Upgrade to take advantage of microbatch incremental strategy, improvements to snapshots, and much more.
- [Making data movement as reliable as electricity](https://www.getdbt.com/blog/making-data-movement-as-reliable-as-electricity.md): Iceberg, unstructured data, and the data infrastructure needed for AI, with Fivetran's cofounder and COO Taylor Brown.
- [AWS re:Invent got us in the data spirit](https://www.getdbt.com/blog/aws-reinvent-2024-recap.md): AWS re:Invent was one for the books—read all about it here.
- [Testing is not enough: Transforming data quality with Write, Audit, Publish](https://www.getdbt.com/blog/testing-is-not-enough-transforming-data-quality-with-write-audit-publish.md): Stop testing after the fact. Catch bad data before it hits prod.
- [Why analytics engineering and DevOps go hand-in-hand](https://www.getdbt.com/blog/analytics-engineering-devops-relationship.md): How empowering your analytics engineers to build data project infrastructure can help you scale.
- [How SurveyMonkey sharpens dbt with data observability](https://www.getdbt.com/blog/surveymonkey-monte-carlo-dbt.md): How reactive monitoring with Monte Carlo and proactive data management with dbt proved to be a useful combination.
- [November dbt Community update](https://www.getdbt.com/blog/november-dbt-community-update.md): Stay updated with the dbt Community. In November we had an AMA with Erica Louie, 10 Meetups, community awards, and more.
- [From dbt Core to dbt Cloud: Why Warner Brothers Discovery made the switch](https://www.getdbt.com/blog/warner-brothers-core-to-cloud.md): dbt Core worked well for Warner Brothers Discovery. Moving to dbt Core brought them even better results.
- [How Virgin Media O2 streamlines data operations with dbt Cloud](https://www.getdbt.com/blog/virgin-media-o2-dbt.md): How newly-merged Virgin Media O2 rebuilt its data infrastructure in the cloud while improving customer loyalty.
- [Five tips and tricks for getting the most out of dbt Explorer](https://www.getdbt.com/blog/five-tips-and-tricks-for-dbt-explorer.md): How many of these features did you already know about?
- [Maturing as an analyst alongside the ADLC](https://www.getdbt.com/blog/maturing-as-an-analyst-alongside-the-adlc.md): Learn how analysts can mature alongside the ADLC with practices that improve accessibility, velocity, and correctness in workflows
- [Deliver reliable, personalized embedded analytics with the dbt Semantic Layer](https://www.getdbt.com/blog/deliver-reliable-personalized-embedded-analytics.md): Learn how the dbt Semantic Layer can help you bring trustworthy, personalized analytics to any end-user experience.
- [1000X faster SQL linting](https://www.getdbt.com/blog/1000x-faster-sql-linting.md): Boost performance, consistency, and readability across your data pipelines.
- [How to build a semantic layer](https://www.getdbt.com/blog/build-semantic-layer.md): A semantic layer brings consistency to your most important metrics. Here’s how to set one up easily with dbt Cloud.
- [Data as an assembly line](https://www.getdbt.com/blog/data-as-an-assembly-line.md): Cedric Chin runs Commoncog and Xmrit, a free tool to create and share XmR charts.
- [How to build the business case for dbt Cloud](https://www.getdbt.com/blog/how-to-build-the-business-case-for-dbt-cloud.md): Learn to build a strong case for dbt Cloud with practical steps, templates, and insights. Unlock your data team's potential.
- [Uniting Core and Cloud with One dbt](https://www.getdbt.com/blog/uniting-core-and-cloud-with-one-dbt.md): Tristan's reflections on the biggest theme of Coalesce 2024.
- [What's new in dbt Cloud - November 2024](https://www.getdbt.com/blog/whats-new-in-dbt-cloud-november-2024.md): Learn about the latest features and capabilities that just landed in dbt.
- [Getting the most out of your dbt Cloud deployment](https://www.getdbt.com/blog/getting-the-most-out-of-your-dbt-cloud-deployment.md): Leverage dbt Cloud features and workflows to maximize your team’s ability to deliver quality data products efficiently.
- [The data jobs to be done](https://www.getdbt.com/blog/the-data-jobs-to-be-done.md): Erik Bernhardsson on his serverless platform for AI, data, and ML teams, and his take on the future of data engineering.
- [Prove ROI for data analytics initiatives](https://www.getdbt.com/blog/analytics-roi-best-practices.md): Discover how to quantify the ROI of analytics with metrics, case studies, and best practices to make your data investment count.
- [Coalesce 2024 edition: What is next for data teams?](https://www.getdbt.com/blog/coalesce-2024-edition-what-is-next-for-data-teams.md): Brooklyn Data Co. Founder Scott Breitenother joins Tristan Handy in conversation at Coalesce 2024 in Las Vegas
- [dbt Labs’ Coalesce 2024 Unifies Data Practitioners and Data Leaders With One dbt](https://www.getdbt.com/blog/dbt-labs-coalesce-2024-unifies-data-practitioners-and-data-leaders-with-one-dbt.md): Coalesce 2024 brought more than 11,000 data enthusiasts together to introduce One dbt, a commitment to a unified dbt experience.
- [Common challenges to scale data operations](https://www.getdbt.com/blog/common-challenges-to-scale-data-operations.md): phData's Dakota Kelley provides practical advice for data leaders scaling their data operations.
- [Coalesce 2024: Recovering from the party](https://www.getdbt.com/blog/coalesce-2024-recovering-from-the-party.md): Coalesce 2024 was our biggest, announc-iest show yet. Here are my notes from the afterglow.
- [Coalesce 2024 highlights](https://www.getdbt.com/blog/coalesce-2024-highlights.md): The vision for One dbt and the entire dbt community.
- [dbt Labs Names Seasoned Channel Leader Shawn Toldo Vice President, Worldwide Partner Ecosystem](https://www.getdbt.com/blog/dbt-labs-names-seasoned-channel-leader-shawn-toldo-vice-president-worldwide-partner-ecosystem.md): Significant partner program momentum continues with new executive hires and a focus on global expansion.
- [Introducing cross-platform dbt Mesh](https://www.getdbt.com/blog/introducing-cross-platform-dbt-mesh.md): Half of enterprises that use dbt Cloud work across multiple data platforms. Cross-platform dbt Mesh addresses that complexity.
- [Introducing dbt Copilot: The future of AI-accelerated analytics](https://www.getdbt.com/blog/introducing-dbt-copilot.md): Accelerate every stage of the ADLC with dbt Copilot.
- [Announcing advanced CI](https://www.getdbt.com/blog/announcing-advanced-ci.md): Advanced CI offers deeper insights into development and production builds, ensuring data integrity and accuracy.
- [dbt Labs Unveils AI Innovations and New Features to Improve Collaboration and Multi-platform Analytics](https://www.getdbt.com/blog/dbt-labs-unveils-ai-innovations-and-new-features-to-improve-collaboration-and-multi-platform.md): New features and enhancements, announced at Coalesce 2024, cement dbt Cloud as the data control plane for enterprise analytics.
- [dbt Labs Teams Up with Salesforce to Enhance Data Transformation and Metrics Management](https://www.getdbt.com/blog/dbt-labs-and-salesforce-announce-strategic-partnership.md): Together, Salesforce and dbt Labs are bringing customers a streamlined, trustworthy, end-to-end data experience.
- [One dbt: the biggest features we announced at Coalesce 2024](https://www.getdbt.com/blog/coalesce-2024-product-announcements.md): Learn about the latest dbt Cloud features designed to help organizations embrace analytics best practices at scale.
- [Unlocking new possibilities with dbt Cloud on Azure Databricks](https://www.getdbt.com/blog/unlocking-new-possibilities-with-dbt-cloud-on-azure-databricks.md): Unlock AI and data innovation with dbt Cloud on Azure Databricks—scalable pipelines, optimized performance, and unified governance
- [The current state of the AI ecosystem](https://www.getdbt.com/blog/the-current-state-of-the-ai-ecosystem.md): Former Analytics Engineering Podcast co-host Julia Schottenstein, now at LangChain, returns to the show.
- [Why Flybuys migrated to dbt Cloud](https://www.getdbt.com/blog/flybuys-dbt-cloud-migration.md): Flybuys needed a single data control plane to increase data quality and productivity. Here’s why they went with dbt Cloud.
- [The ADLC: Your compass for navigating modern data analytics](https://www.getdbt.com/blog/adlc-compass-modern-data-analytics.md): Discover how the ADLC can serve as your compass in navigating modern data analytics.
- [Peak data performance: Moving from dbt Core to dbt Cloud](https://www.getdbt.com/blog/moving-dbt-core-dbt-cloud.md): Learn how WHOOP improved data governance, transparency, and collaboration by transitioning from dbt Core to dbt Cloud.
- [Creating value from GenAI in the enterprise](https://www.getdbt.com/blog/creating-value-from-genai-enterprise.md): Capital One's head of enterprise data tech on building a strong data culture for what comes next.
- [dbt Cloud on Microsoft Fabric: The recipe for high-quality AI data](https://www.getdbt.com/blog/dbt-cloud-on-microsoft-fabric.md): Learn how you can use dbt Cloud and Microsoft Fabric to create high-quality data to power the next generation of AI apps.
- [dbt Labs Names Enterprise Software Veteran Sally Jenkins as Chief Marketing Officer](https://www.getdbt.com/blog/dbt-labs-names-enterprise-software-veteran-sally-jenkins-as-chief-marketing-officer.md): Jenkins’ expertise in strategic marketing will guide and help scale the company as it continues its growth momentum.
- [Developer productivity on GitHub Copilot](https://www.getdbt.com/blog/developer-productivity-github-copilot.md): GitHub Next's Dr. Eirini Kalliamvakou on making sure tracking productivity reflects reality.
- [Understanding AI data engineering](https://www.getdbt.com/blog/ai-data-engineering.md): How AI is changing data engineering—and the groundwork you need to lay for it to be a success.
- [Data leadership in the age of AI - Part 2](https://www.getdbt.com/blog/data-leadership-ai-2.md): In Part 2, AI leaders from dbt, M&T Bank, and Microsoft unpack multimodal data, governance, talent, and scaling AI responsibly.
- [Transforming data with AI: use cases, examples, and challenges](https://www.getdbt.com/blog/ai-data-transformation.md): How to use AI for faster and more accurate data transformation—and how dbt Cloud can help.
- [What is enterprise data governance?](https://www.getdbt.com/blog/what-is-enterprise-data-governance.md): Data governance ensures integrity, security, and quality, helping enterprises turn data from a liability to a valuable asset.
- [Data leadership in the age of AI](https://www.getdbt.com/blog/data-leadership-ai.md): Explore how industry leaders are tackling the challenges of AI adoption, from data quality to human-centric approaches.
- [Product spotlight: Four new dbt Cloud features you need to know about](https://www.getdbt.com/blog/dbt-cloud-product-spotlight.md): Learn more about the four dbt Cloud features highlighted in our Product Spotlight Series.
- [Demystifying AI: 7 simple tips to get you started](https://www.getdbt.com/blog/demystifying-ai-7-tips-to-get-started.md): Demystify AI with 7 simple tips to kickstart your journey. Learn how to integrate AI seamlessly into your data strategy.
- [Understanding the 3 key analytics personas](https://www.getdbt.com/blog/understanding-analytics-personas.md): What everyone gets wrong about the humans who do data.
- [dbt explained](https://www.getdbt.com/blog/dbt-explained.md): You've heard of dbt - but what, exactly, does it do? An overview of dbt’s role in helping teams build and deliver quality data.
- [Analytics engineer 🤝 data analyst: How dbt Cloud enables our workflow](https://www.getdbt.com/blog/analytics-engineer-data-analyst-dbt-cloud.md): Learn how dbt Cloud empowers collaboration between analytics engineers and data analysts at dbt Labs.
- [What's new in dbt Cloud - August 2024](https://www.getdbt.com/blog/whats-new-dbt-cloud-august-2024.md): Read about the latest and greatest features that recently landed in dbt Cloud.
- [dbt Labs on dbt: Streamlining KPI dashboards with the dbt Semantic Layer](https://www.getdbt.com/blog/streamlining-kpi-dashboards-dbt-semantic-layer.md): Learn how dbt Labs uses the dbt Semantic Layer to streamline KPI dashboards, ensuring real-time, accurate metrics across BI tools.
- [Developing a modern data strategy for AI](https://www.getdbt.com/blog/modern-data-strategy-ai.md): Discover how Generative AI is reshaping data engineering roles and the key principles for a successful GenAI data strategy.
- [July dbt Community update](https://www.getdbt.com/blog/july-dbt-community-update.md): Stay updated with the dbt Community. In July we had an AMA with Tristan Handy, 11 Meetups, a community spotlight, and more.
- [The dbt Cloud CLI is now generally available, with support for Power User for dbt](https://www.getdbt.com/blog/dbt-cloud-cli-generally-available.md): The dbt Cloud CLI, the best way to develop locally with dbt, is now generally available.
- [The path to a mature Analytics Development Lifecycle](https://www.getdbt.com/blog/the-analytics-development-lifecycle.md): A look at recent trends in data and analytics, the evolving AI landscape, and the importance of the ADLC.
- [Why you need a data control plane](https://www.getdbt.com/blog/data-control-plane-why.md): Data quality, data velocity, and cost overruns plague most data-driven organizations. A data control plane can fix that.
- [Data governance for AI: What’s different?](https://www.getdbt.com/blog/understanding-data-governance-ai.md): AI needs high-quality data—and that requires modern governance. Learn how AI reshapes data governance and how dbt can help.
- [Semantic Layer: What it is and when to adopt it](https://www.getdbt.com/blog/semantic-layer-introduction.md): The explosion of data sources can make it harder for employees to find, trust, and use data. Here’s how a semantic layer can help.
- [Five use cases for the dbt Semantic Layer](https://www.getdbt.com/blog/five-use-cases-for-the-dbt-semantic-layer.md): How to use your organizational metrics to build lasting competitive advantage.
- [What is a data control plane?](https://www.getdbt.com/blog/data-control-plane-introduction.md): Data quality, data ownership, and stakeholder literacy are pressing data problems. A data control plane solves them.
- [Getting started with data quality management](https://www.getdbt.com/blog/getting-started-data-quality-management.md): Learn data quality management principles and how to apply them with dbt for reliable, high-quality data.
- [DataOps vs DevOps: How do they differ?](https://www.getdbt.com/blog/dataops-devops-difference.md): DataOps and DevOps are similar—but different. Learn what distinguishes them and how to implement DataOps easily.
- [How to choose a data quality framework](https://www.getdbt.com/blog/data-quality-framework-choosing.md): Do you need a data quality framework? An overview of popular frameworks - and how to adopt one tailor-fit to your business.
- [Data governance frameworks for AI-driven organizations](https://www.getdbt.com/blog/data-governance-frameworks-ai.md): Why robust data governance is critical for AI-driven organizations to ensure the integrity, security, and ethical use of data.
- [Guide to surrogate keys](https://www.getdbt.com/blog/guide-to-surrogate-key.md): A surrogate key is a unique identifier derived from the data itself.
- [June dbt Community update](https://www.getdbt.com/blog/june-dbt-community-update.md): Stay updated with the dbt Community. In June we had an AMA on BI reporting, 13 in-person Meetups, and more.
- [Guide to subquery](https://www.getdbt.com/blog/guide-to-subquery.md): A subquery is what the name suggests: a query within another query.
- [Guide to data grain](https://www.getdbt.com/blog/guide-to-data-grain.md): Data grain is the combination of columns at which records in a table are unique.
- [DRY principles: How to write efficient SQL](https://www.getdbt.com/blog/dry-principles.md): DRY is a software development principle that stands for “Don’t Repeat Yourself.”
- [Guide to DML](https://www.getdbt.com/blog/guide-to-dml.md): Data Manipulation Language (DML) is a class of SQL statements that are used to query, edit, add and delete row-level data.
- [Guide to dimensional modeling](https://www.getdbt.com/blog/guide-to-dimensional-modeling.md): Dimensional modeling is a data modeling technique where you break data up into “facts” and “dimensions”.
- [Structuring databases with DDL](https://www.getdbt.com/blog/structuring-databases-with-ddl.md): Data Definition Language (DDL) is a group of SQL statements that you can execute to manage database objects.
- [Getting started with data lineage](https://www.getdbt.com/blog/getting-started-with-data-lineage.md): Data lineage provides a holistic view of how data moves through an organization, where it’s transformed and consumed.
- [DAG use cases and best practices](https://www.getdbt.com/blog/dag-use-cases-and-best-practices.md): Use DAGs to visualize dependencies, debug models, and improve performance in your analytics pipelines.
- [Getting started with CTEs](https://www.getdbt.com/blog/getting-started-with-cte.md): How Common Table Expressions enhance SQL readability and efficiency in dbt for cleaner, maintainable queries.
- [Data integration vs. data transformation: What’s the difference?](https://www.getdbt.com/blog/data-integration-vs-data-transformation.md): Learn about the relationship between data integration and data transformation and how to manage them across your enterprise.
- [Data quality best practices: Six essential principles for analytics and AI](https://www.getdbt.com/blog/data-quality-best-practices.md): Use these six essential principles to produce quality data for both analytics and AI.
- [Implementing common data transformation techniques with dbt](https://www.getdbt.com/blog/implementing-common-data-transformation-techniques-dbt.md): Explore common data transformations—and how dbt brings consistency, testing, and self-serve access to your analytics pipeline.
- [Data quality dimensions: What they are and how to incorporate them](https://www.getdbt.com/blog/data-quality-dimensions.md): Learn how to use data quality dimensions to create a general profile of your data’s quality by understanding how the data is used.
- [Data transformation: Six critical best practices](https://www.getdbt.com/blog/data-transformation-best-practices.md): Learn six data transformation best practices that act as high-octane fuel powering your entire business engine.
- [Pride Month at dbt Labs: LGBTQ+ Identity at work](https://www.getdbt.com/blog/pride-month-at-dbt-labs.md): Learn how dbt Labs honors Pride Month and supports LGBTQIA identities year-round through policies, events, and our Queeries ERG.
- [16 must-have data engineer skills](https://www.getdbt.com/blog/data-engineer-skills.md): Discover 16 essential data engineer soft and technical skills, from SQL to cloud platforms, to thrive in modern data engineering.
- [Getting started with Data Vault on AutomateDV and dbt Cloud](https://www.getdbt.com/blog/getting-started-with-data-vault-on-automatedv-and-dbt-cloud.md): Learn how to boost your data warehouse development with AutomateDV and dbt Cloud in this Data Vault guide.
- [Data orchestration vs. ETL: What’s the difference?](https://www.getdbt.com/blog/data-orchestration-vs-etl.md): What separates data orchestration from ETL? A look at how both processes overlap - and where they differ.
- [dbt Labs on dbt: How dbt Labs solves marketing challenges with the Campaign 360 Dashboard](https://www.getdbt.com/blog/how-dbt-labs-solves-marketing-challenges-with-the-campaign-360-dashboard.md): See how dbt Labs uses the Campaign 360 Dashboard to solve marketing challenges, driving efficient decision-making and cost savings
- [Critical tools for data governance](https://www.getdbt.com/blog/critical-tools-data-governance.md): Scale your data governance for Generative AI with these essential tools to meet growing demands.
- [Summit season: Key takeaways from the Snowflake and Databricks Summits](https://www.getdbt.com/blog/key-takeaways-snowflake-databricks-summits.md): I just spent two weeks in a hotel room near Moscone. Here's what I learned.
- [Data quality metrics: what to pay attention to](https://www.getdbt.com/blog/data-quality-metrics.md): Data quality metrics help organizations assess their data. Here’s how to define the metrics that matter to you.
- [The best Data+AI Summit is in the books!](https://www.getdbt.com/blog/the-best-data-ai-summit-yet-is-in-the-books.md): dbt + Databricks is an amazing combo!
- [Data transformation: The foundation of analytics work](https://www.getdbt.com/blog/analytics-engineering-transformation.md): Data transformation cleans, standardizes, and automates raw data, ensuring high-quality, trustworthy datasets for analysts.
- [Five real data transformation examples](https://www.getdbt.com/blog/data-transformation-examples.md): Discover five real data transformation examples and learn how dbt Cloud enhances data workflows for better business insights.
- [The data practitioner for the AI era](https://www.getdbt.com/blog/the-data-practitioner-for-the-ai-era.md): The dbt perspective on AI from MIT Technology Review's report on data practitioners.
- [New dbt Labs and Databricks Report Highlights The Evolving Roles of Data Practitioners in the AI Era](https://www.getdbt.com/blog/new-dbt-labs-and-databricks-report-highlights-the-evolving-roles-of-data-practitioners-in-the-ai.md): dbt Labs and Databricks release report on the strategies and processes needed to effectively deploy AI in the enterprise
- [The rapid experimentation of AI agents](https://www.getdbt.com/blog/rapid-experimentation-ai-agents.md): Yohei Nakajima, general partner at Untapped Capital and creator of BabyAGI, on AI agents, and where they might take us.
- [Snowflake Data Cloud Summit 24' is a wrap!](https://www.getdbt.com/blog/snowflake-summit-24-is-a-wrap.md): Snowflake Data Cloud Summit 24' was one for the books. See what we learned!
- [What's new in dbt Cloud - June 2024](https://www.getdbt.com/blog/whats-new-in-dbt-cloud-june-2024.md): Learn about all the newest features and functionality now live in dbt Cloud.
- [Introducing dbt for Snowflake](https://www.getdbt.com/blog/introducing-dbt-for-snowflake.md): Learn about the dbt native app on Snowflake Marketplace.
- [What is data engineering?](https://www.getdbt.com/blog/what-is-data-engineering.md): Data engineering powers your analytics. Learn the key roles, challenges, and tools driving today’s modern data workflows.
- [May dbt Community update](https://www.getdbt.com/blog/may-community-update.md): In this monthly Community update, we share insights from our Slack AMA, new community spotlights, meetups, and announcements.
- [dbt Labs Launches dbt for Snowflake, a New Native App on Snowflake Marketplace](https://www.getdbt.com/blog/dbt-labs-launches-dbt-for-snowflake-a-new-native-app-on-snowflake-marketplace.md): Customers can now easily experience the benefits of dbt Cloud while ensuring that the AI apps built on top of Snowflake are built on trusted data
- [Why managing data source changes in Tableau is challenging (and how dbt can help)](https://www.getdbt.com/blog/managing-data-source-changes-in-tableau.md): Learn how dbt Cloud and the dbt Semantic Layer simplify managing data source changes in Tableau for consistent, reliable insights.
- [Funnel analytics and AI models for event sequences](https://www.getdbt.com/blog/funnel-analytics-and-ai-models.md): Misha Panko, co-founder and CEO of Motif Analytics, on moving from "what" questions to "why" and "how"
- [More scale, less chaos: dbt Mesh is now generally available](https://www.getdbt.com/blog/dbt-mesh-is-now-generally-available.md): Discover the power of dbt Mesh, now available in dbt Cloud Enterprise. Learn how this deployment pattern enhances data management for organizations, enabling seamless team collaboration at scale.
- [Analytics engineering and data engineering: Do you need both?](https://www.getdbt.com/blog/analytics-vs-data-engineering.md): A look at the different problems that analytics and data engineering solve.
- [Introducing dbt Assist: a copilot to accelerate dbt development](https://www.getdbt.com/blog/introducing-dbt-assist.md): dbt Assist is a set of AI-enabled workflows for common tasks in dbt. It helps you accelerate (not automate) them, allowing you to ultimately get even more done in less time.
- [Data products and data mesh: Leveraging both to simplify data management](https://www.getdbt.com/blog/data-products-data-mesh.md): Used together, data products and data mesh can simplify how you manage data. Learn what they are and how they’re related.
- [Our biggest launch event yet](https://www.getdbt.com/blog/our-biggest-launch-event-yet.md): May 14th saw us announce a ton of new capabilities and provides a window into the future.
- [What is data lineage, and why do you need it?](https://www.getdbt.com/blog/what-is-data-lineage.md): Data lineage provides an end-to-end view of how data transforms and evolves throughout today’s complex modern data pipelines.
- [From Moneyball to Gen AI](https://www.getdbt.com/blog/from-moneyball-to-gen-ai.md): Tristan and Eric Avidon, a journalist at TechTarget, discuss the maturity of AI and analytics and more.
- [Delivering data that works: the biggest new dbt Cloud features](https://www.getdbt.com/blog/dbt-cloud-launch-showcase-2024.md): Read about the latest features coming to dbt Cloud.
- [New dbt Cloud Enhancements Empower Organizations with Trustworthy Data At Scale](https://www.getdbt.com/blog/new-dbt-cloud-enhancements-empower-organizations-with-trustworthy-data-at-scale.md): Leader in the cloud data ecosystem announces AI and low code development capabilities, among other features, to improve AI and analytics workflows, and enable more people to build and leverage data.
- [Understanding semantic layer architecture](https://www.getdbt.com/blog/semantic-layer-architecture.md): How a semantic layer provides a single interface that transforms technical data structures into user-friendly business concepts.
- [DataOps: How to get started](https://www.getdbt.com/blog/dataops-dbt-guide.md): Discover how to apply DataOps with dbt to streamline workflows, improve data quality, and drive better collaboration.
- [Let's talk about AI and its impact on data practitioners, with as little hype as possible](https://www.getdbt.com/blog/lets-talk-about-ai.md): Tristan Handy reflects on AI's evolving role in data analytics, highlighting the current limitations and future potential.
- [How to hire data engineers](https://www.getdbt.com/blog/hiring-data-engineer.md): Learn data engineers' evolving responsibilities, how to craft job descriptions, and when to add data engineers to your team.
- [How to hire analytics engineers](https://www.getdbt.com/blog/hiring-analytics-engineer.md): Learn the analytics engineer's unique value, key skills to look for, and tips for crafting effective job descriptions.
- [The 2024 State of Analytics Engineering report](https://www.getdbt.com/blog/the-2024-state-of-analytics-engineering-report.md): The annual survey of data practitioners and leaders highlights data quality and data trust issues, team challenges, and AI.
- [How to structure your data team](https://www.getdbt.com/blog/data-team-structure.md): Structure your data team for success. Lessons from SnapTravel, Away, HubSpot on centralized, hybrid, and embedded models.
- [How we think about dbt Core and dbt Cloud](https://www.getdbt.com/blog/how-we-think-about-dbt-core-and-dbt-cloud.md): Learn the key distinctions between dbt Core and dbt Cloud, and how dbt Labs balances open-source innovation with commercial growth
- [What's new in dbt Cloud - April 2024](https://www.getdbt.com/blog/whats-new-in-dbt-cloud-april-2024.md): Learn about all the newest features and functionality now live in dbt Cloud.
- [Data product examples: What data products look like in practice](https://www.getdbt.com/blog/data-product-examples.md): Data products make it easier for teams to produce and consume data at scale. Se how data products work in practice.
- [A closer look at the newly-launched dbt Cloud CLI](https://www.getdbt.com/blog/a-closer-look-at-the-newly-launched-dbt-cloud-cli.md): The introduction of the dbt Cloud CLI marked a pivotal moment, representing a second way to develop natively within dbt Cloud.
- [Building a data quality framework with dbt and dbt Cloud](https://www.getdbt.com/blog/building-a-data-quality-framework-with-dbt-and-dbt-cloud.md): Learn about the various testing capabilities in dbt and dbt Cloud to build trust in data.
- [Data transformation vs. ETL](https://www.getdbt.com/blog/data-transformation-vs-etl.md): A look into the relationship between data transformation and ETL.
- [Data modeling techniques for more modularity](https://www.getdbt.com/blog/modular-data-modeling-techniques.md): Learn how modular data modeling with dbt improves data transformation, enhances collaboration, and optimizes analytics workflows.
- [Analytics engineering: Six best practices for success](https://www.getdbt.com/blog/analytics-engineering-six-best-practices.md): Here are six tips for analytics engineering that will immediately improve the quality and usability of your data.
- [dbt Labs Names Former Rubrik Exec Austin Stefani as Chief Revenue Officer](https://www.getdbt.com/blog/dbt-labs-names-former-rubrik-exec-austin-stefani-as-chief-revenue-officer.md): dbt Labs, the pioneer in analytics engineering, today announced the appointment of Austin Stefani as Chief Revenue Officer as it continues to bolster its leadership team.
- [Data governance: Best practices for a human approach](https://www.getdbt.com/blog/data-governance-best-practices.md): Following these best practices for data governance helps build a solid, human-centric program that mitigates risks.
- [How to choose a data transformation tool](https://www.getdbt.com/blog/data-transformation-tool-choosing.md): Are you still uploading spreadsheets to analyze business-critical data? Here’s why you need a data transformation tool.
- [Automating data classification for the 21st century](https://www.getdbt.com/blog/automating-data-classification-for-the-21st-century.md): Track sensitive data in your warehouse with precision and automation.
- [Proactively improve your dbt projects with new dbt Explorer features](https://www.getdbt.com/blog/proactively-improve-your-dbt-projects-with-new-dbt-explorer-features.md): Learn how new features in dbt Explorer, including column-level lineage and project recommendation, improve data quality and trust.
- [4 Experts on How to Optimize Costs in Your Data Work & Pipelines](https://www.getdbt.com/blog/4-experts-on-how-to-optimize-costs-in-your-data-work-pipelines.md): How do you keep data costs in check? Three companies and our own experts talk about how they balance performance and spend.
- [Announcing exports for the dbt Semantic Layer](https://www.getdbt.com/blog/announcing-exports-for-the-dbt-semantic-layer.md): Make metrics accessible anywhere with exports
- [Analytics engineer vs data analyst vs data engineer](https://www.getdbt.com/blog/analytics-engineer-vs-data-analyst-vs-data-engineer.md): Learn how analytics engineering differs from data engineering and data analysis and what it can provide for your organization.
- [Seamless scalability, effortless upgrades: the enhanced dbt Cloud platform](https://www.getdbt.com/blog/seamless-scalability-effortless-upgrades-the-enhanced-dbt-cloud-platform.md): Today, we’re sharing several more enhancements that mark another step in dbt Cloud’s maturity as the enterprise standard for modern data transformation.
- [Announcing the Fivetran dbt Cloud integration](https://www.getdbt.com/blog/announcing-the-fivetran-dbt-cloud-integration.md): Automate your data pipelines with Fivetran’s new dbt Cloud integration
- [dbt Labs Names Data Industry Veteran Mark Porter as Chief Technology Officer](https://www.getdbt.com/blog/dbt-labs-names-data-industry-veteran-mark-porter-as-chief-technology-officer.md): The appointment of Porter, previously CTO of MongoDB, comes as the data transformation leader expands its leadership team.
- [Data transformation: methods, workflows, and best practices](https://www.getdbt.com/blog/data-transformation.md): Explore ELT data transformation: why it’s central, how dbt makes it reliable, and best practices for modular, tested workflows.
- [How the dbt Semantic Layer works](https://www.getdbt.com/blog/how-the-dbt-semantic-layer-works.md): Everything you need to know to start building semantic models and configuring and querying metrics
- [Understanding data transformation platforms](https://www.getdbt.com/blog/data-transformation-platforms.md): Learn how the dbt platform powers modular, governed, and production-ready data transformation at scale.
- [A brief history of SQL](https://www.getdbt.com/blog/a-brief-history-of-sql.md): SQL built the data age, but can it evolve for what’s next? Explore its history, flaws, and what’s needed to power the future.
- [Manage Data Complexity at Scale with dbt Cloud](https://www.getdbt.com/blog/manage-data-complexity-at-scale-with-dbt-cloud.md): Data work shouldn’t require an act of heroism. Here’s how dbt helps businesses ship faster, build trust, and reduce costs.
- [Optimize Costs with dbt Cloud's Defer to Production Feature](https://www.getdbt.com/blog/optimize-costs-with-dbt-cloud-defer-to-production-feature.md): How to develop your data pipelines faster and save on storage and compute costs using dbt’s Defer to Production feature.
- [Build, centralize, and deliver consistent metrics with the dbt Semantic Layer](https://www.getdbt.com/blog/build-centralize-and-deliver-consistent-metrics-with-the-dbt-semantic-layer.md): Learn more about the top 5 benefits and use cases for the new and improved dbt Semantic Layer
- [How to become a revenue-driven marketer with dbt Cloud](https://www.getdbt.com/blog/how-to-become-a-revenue-driven-marketer-with-dbt-cloud.md): It’s important to show how your marketing campaigns impact the bottom line. For that, you need good data.
- [Getting started with data mesh](https://www.getdbt.com/blog/data-mesh-getting-started.md): A practical guide to adopting data mesh architecture, solving bottlenecks, and scaling data teams with the dbt platform.
- [Semantic Layer as the Data Interface for LLMs](https://www.getdbt.com/blog/semantic-layer-as-the-data-interface-for-llms.md): A new benchmark for natural language questions against databases dropped last week. How does the dbt Semantic Layer stack up?
- [Navigate and understand your dbt Cloud projects with dbt Explorer](https://www.getdbt.com/blog/navigate-and-understand-your-dbt-cloud-projects-with-dbt-explorer.md): Easily visualize, navigate, and optimize your data assets with dbt Explorer
- [My first week with the new dbt](https://www.getdbt.com/blog/my-first-week-with-the-new-dbt.md): We launched a dramatically new dbt experience at Coalesce. How does it feel to use?
- [dbt Cloud is now available for Microsoft Fabric](https://www.getdbt.com/blog/dbt-cloud-is-now-available-for-microsoft-fabric.md): dbt Cloud is the industry standard solution for data transformation in the cloud. Now, with dbt Cloud adapters available for Microsoft Fabric and Microsoft Azure Synapse, Microsoft customers can get…
- [What does an analytics engineer do?](https://www.getdbt.com/blog/what-does-an-analytics-engineer-do.md): Analytics engineering is a new role in the cloud data stack. Learn what an analytics engineer is and whether your team needs one.
- [dbt Labs Appoints Tech Veteran Brandon Sweeney as President and Chief Operating Officer](https://www.getdbt.com/blog/dbt-labs-appoints-tech-veteran-brandon-sweeney-as-president-and-chief-operating-officer.md): Sweeney’s appointment comes as the data transformation leader expands its executive team to support significant customer growth and momentum
- [Key components of data mesh: self-serve data platform](https://www.getdbt.com/blog/key-components-of-data-mesh-self-serve-data-platform.md): What is a self-serve data platform, and why is it critical to a data mesh architecture?
- [Key components of data mesh: Federated computational governance](https://www.getdbt.com/blog/key-components-of-data-mesh-federated-computational-governance.md): How does a data mesh architecture ensure security and compliance? A deep dive into how federated computational governance works.
- [Key components of data mesh: Creating and managing data products](https://www.getdbt.com/blog/key-components-of-data-mesh-creating-and-managing-data-products.md): What is a data product? This article explains the benefits of data products and examines the processes.
- [What are data domains?](https://www.getdbt.com/blog/data-domains.md): Explore how data domains create scalable, team-owned data systems that accelerate delivery and simplify cross-team collaboration.
- [Data products vs. data as a product](https://www.getdbt.com/blog/data-product-data-as-product.md): Data products and “data as a product” are common terms in data development. Here’s how they differ.
- [Coalesce 2023 brought the dbt community together](https://www.getdbt.com/blog/coalesce-2023-brought-the-dbt-community-together.md): Whether you joined us online, in-person, or are catching up now, thank you for being a part of Coalesce 2023.
- [dbt Labs Announces Major Enhancements to dbt Cloud to Enable Collaboration at Scale](https://www.getdbt.com/blog/dbt-labs-announces-major-enhancements-to-dbt-cloud-to-enable-collaboration-at-scale.md): New dbt Cloud releases equip teams across organizations to collaborate more effectively around data to improve business outcomes
- [Overcoming complexity: the biggest new dbt Cloud features from Coalesce 2023](https://www.getdbt.com/blog/new-dbt-cloud-features-announced-at-coalesce-2023.md): As organizations—and organizational data—grow in complexity, it becomes increasingly difficult for data teams to remain agile.
- [dbt Labs Announces the Next Generation of the dbt Semantic Layer, Introduced Alongside New Integration with Tableau](https://www.getdbt.com/blog/dbt-labs-announces-the-next-generation-of-the-dbt-semantic-layer-introduced-alongside-new-integration-with-tableau.md): The dbt Semantic Layer is now powered by MetricFlow, following dbt Labs' acquisition of Transform in early 2023
- [The role of a data product manager](https://www.getdbt.com/blog/data-product-manager-role.md): Data product managers are an important part of an effective data team. Learn about their role and the value they contribute.
- [Transforming data workflows with Hex and the dbt Semantic Layer](https://www.getdbt.com/blog/transforming-data-workflows-with-hex-and-the-dbt-semantic-layer.md): We’re thrilled to announce the release of a Hex integration for the revamped dbt Semantic Layer. The integration ties into capabilities newly introduced in the Semantic Layer, which is now powered by…
- [Gearing up for Coalesce 2023](https://www.getdbt.com/blog/gearing-up-for-coalesce-2023.md)
- [Understanding data mesh architecture](https://www.getdbt.com/blog/data-mesh-architecture-explained.md): Discover the key elements of data mesh architecture and how dbt Labs helps organizations implement it effectively.
- [The 4 principles of data mesh](https://www.getdbt.com/blog/the-four-principles-of-data-mesh.md): Explore data mesh principles: data domains, data products, self-serve platforms, and governance for successful implementation.
- [How to build a data product](https://www.getdbt.com/blog/build-data-product.md): Learn about the lifecycle of developing a data product and the tools you can use to manage it.
- [ETL: Extract, Transform, Load — core concepts, use cases, and FAQs](https://www.getdbt.com/blog/extract-transform-load.md): Understand ETL, explore real-world use cases, compare to ELT, and see how dbt supports scalable, modern data transformation.
- [Data mesh architecture: How did we get here?](https://www.getdbt.com/blog/data-mesh-architecture-how-did-we-get-here.md): How did the concept of data mesh architecture come into play? A look at what came before it and why we need it.
- [Understanding ELT: Extract, Load, Transform](https://www.getdbt.com/blog/extract-load-transform.md): ELT flips the traditional data pipeline: extract raw data, load into the warehouse, and transform—unlocking agility and scale.
- [Coalesce 2023: Deliver value for your data team](https://www.getdbt.com/blog/coalesce-2023-deliver-value-for-your-data-team.md)
- [The return on investment of dbt Cloud](https://www.getdbt.com/blog/the-return-on-investment-of-dbt-cloud.md): It’s time for data teams to invest in a new way of transforming their data.
- [dbt Labs Builds Momentum as the Industry Standard for Data Transformation](https://www.getdbt.com/blog/dbt-labs-builds-momentum-as-the-industry-standard-for-data-transformation.md): dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
- [Staging Models Best Practices and Limiting View Runs](https://www.getdbt.com/blog/staging-models-best-practices-and-limiting-view-runs.md): We’ve received questions during dbt training sessions and in the dbt Slack community about staging models and materializing views.
- [How Ramp’s data team uses collaboration to make a huge impact](https://www.getdbt.com/blog/how-ramp-s-data-teams-use-collaboration-to-make-a-huge-impact.md): How do you foster better collaboration with your analytics engineering team across the company? Ramp shares the secrets that have driven its success.
- [Consumption-based pricing and the future of dbt Cloud](https://www.getdbt.com/blog/consumption-based-pricing-and-the-future-of-dbt-cloud.md): Why it’s time to go beyond seat-based pricing for dbt Cloud.
- [Introducing the revamped dbt Semantic Layer Beta](https://www.getdbt.com/blog/introducing-new-look-dbt-semantic-layer.md): The newly revampted dbt Semantic Layer simplifies metric unification and boosts consistency in analytics workflows across teams.
- [The arc of data innovation with Bob Muglia](https://www.getdbt.com/blog/the-arc-of-data-innovation-with-bob-muglia.md): Based on current trends, the modern data stack is likely to become more sophisticated and easier to use.
- [What we learned at the Summer of Summits](https://www.getdbt.com/blog/snowflake-databricks-summits.md): These are the top takeaways from the dbt Labs team after attending Snowflake Summit in Las Vegas and the Databricks Data and AI Summit in San Francisco.
- [Seemingly easy, but in reality hard](https://www.getdbt.com/blog/seemingly-easy-but-in-reality-hard.md): Running dbt jobs at scale is a challenging problem. We can help you solve it.
- [The new dbt Semantic Layer spec: the DNA for our vision](https://www.getdbt.com/blog/new-dbt-semantic-layer-spec-dna.md): Learn how the new dbt Semantic Layer spec simplifies data management, with entities and metrics driving scalable data insights.
- [dbt Labs Named 2023 Databricks Customer Impact Partner of the Year](https://www.getdbt.com/blog/dbt-labs-named-2023-databricks-customer-impact-partner-of-the-year.md): Recognition follows a year of significant customer adoption and use of dbt Cloud on Databricks.
- [dbt Labs Named Snowflake Data Integration Partner of the Year](https://www.getdbt.com/blog/dbt-labs-named-snowflake-data-integration-partner-of-the-year.md): dbt Labs wins Snowflake Data Integration Partner of the Year for driving innovation in the data ecosystem.
- [Why we need a universal semantic layer](https://www.getdbt.com/blog/universal-semantic-layer.md): To make the most out of data, we need to have a consistent, unified, and understandable view of it that's easily accessible.
- [dbt Labs on dbt](https://www.getdbt.com/blog/dbt-on-dbt-blog.md): How we use dbt to scale our business operations.
- [Introducing the Discovery API](https://www.getdbt.com/blog/introducing-the-discovery-api.md): Gain a more complete understanding of your dbt deployment and the data it generates.
- [dbt Labs Update: a Message from CEO Tristan Handy](https://www.getdbt.com/blog/dbt-labs-update-a-message-from-ceo-tristan-handy.md)
- [dbt Core v1.5: model governance of, by, & for people](https://www.getdbt.com/blog/dbt-core-v1.5.md): in societate vivimus, fortasse collaboramus
- [The dbt Semantic Layer: what’s next](https://www.getdbt.com/blog/dbt-semantic-layer-whats-next.md): Explore the future of the dbt Semantic Layer, including MetricFlow integration, advanced metrics, and platform expansion.
- [Announcing Starburst support in dbt Cloud](https://www.getdbt.com/blog/announcing-starburst-support.md): dbt Cloud users can now connect to Starburst or Trino to write queries that join data from different data stores: that includes data warehouses, data lakes, object storage, streaming databases, and m…
- [The next big step forwards for analytics engineering](https://www.getdbt.com/blog/analytics-engineering-next-step-forwards.md): Analytics engineering is evolving with modularity, testing, and collaboration to meet growing data demands and improve workflows.
- [Data modeling techniques for modern data warehouses](https://www.getdbt.com/blog/data-modeling-techniques.md): Explore the data modeling techniques (relational, ER, dimensional, and data vault) that data teams use to model their data.
- [How to choose quality data checks](https://www.getdbt.com/blog/choosing-quality-data-checks.md): Learn how to build scalable data quality checks with dbt—what to test, where to test it, and how to make testing a team sport.
- [Announcing new dbt Labs Premier and Preferred Consulting Partners](https://www.getdbt.com/blog/announcing-premier-preferred-consulting-partners.md): Data Clymer, phData, Qrious, Slalom, and Tropos are now our first ever Premier Consulting Partners!
- [The 5 essential data quality checks in analytics](https://www.getdbt.com/blog/data-quality-checks.md): Five key data quality checks in dbt Cloud — uniqueness, non-nullness, accepted values, referential integrity, and freshness.
- [Data quality testing: What it is, where and why you should have it](https://www.getdbt.com/blog/data-quality-testing.md): Discover data quality testing and why it matters. Learn strategies to ensure data correctness, freshness, and when to apply them.
- [A follow-up: More improvements to the dbt Cloud IDE](https://www.getdbt.com/blog/improvements-to-the-dbt-cloud-ide.md): We've recently launched a series of quality of life improvements to the Cloud IDE experience — and we're also announcing many more to come.
- [ETL vs ELT: What's the difference?](https://www.getdbt.com/blog/etl-vs-elt.md): ETL and ELT are key data integration methods. Learn their differences, use cases, and how dbt optimizes the ETL process.
- [When and why to upgrade to dbt Cloud](https://www.getdbt.com/blog/why-upgrade-dbt-core-to-cloud.md): If you're a dbt Core user, you may have wondered what dbt Cloud could do for you. Here's when and why to consider an upgrade.
- [Introducing Webhooks in dbt Cloud](https://www.getdbt.com/blog/introducing-webhooks-in-dbt-cloud.md): You can now use Webhooks to automatically trigger workflows in external tools based on dbt job status.
- [Introducing dbt Cloud Australia: A new deployment option for APAC customers](https://www.getdbt.com/blog/dbt-cloud-australia-new-deployment-option.md): This new data residency offering for dbt Cloud Enterprise customers in the Asia-Pacific region joins other regional deployment options hosted in Europe and North America.
- [Why is data testing necessary?](https://www.getdbt.com/blog/data-testing.md): Data testing ensures trusted analytics, faster dev cycles, and fewer errors—core to every modern data workflow.
- [dbt Labs Signs Definitive Agreement to Acquire Transform, Accelerating Development of the dbt Semantic Layer](https://www.getdbt.com/blog/dbt-labs-signs-definitive-agreement-to-acquire-transform-accelerating-development-of-the-dbt-semantic-layer.md)
- [dbt Labs signs definitive agreement to acquire Transform](https://www.getdbt.com/blog/dbt-acquisition-transform.md): dbt Labs acquires Transform, integrating its semantic layer to enhance metrics management and analysis across data workflows.
- [dbt Labs Signs Definitive Agreement to Acquire Transform, Accelerating development of the dbt Semantic Layer](https://www.getdbt.com/blog/press-release-dbt-acquisition-transform.md): Read this press release to learn about dbt's acquisition of Transform.
- [We’ve revamped our Professional Services offerings](https://www.getdbt.com/blog/revamped-professional-services.md): The Professional Services team at dbt Labs has a simple remit: ensure dbt Cloud customers get as much value from the platform as possible, as quickly as possible.
- [Updating dbt Cloud pricing to support long-term community growth](https://www.getdbt.com/blog/dbt-cloud-package-update.md): We’re updating the dbt Cloud Developer and Team plans to better reflect product maturity after years of improvements.
- [Why we're updating Terms of Use in dbt Cloud](https://www.getdbt.com/blog/dbt-cloud-updated-terms.md): This post delves into the details of our Terms of Use and provides more clarity on how dbt Cloud stores and processes your data.
- [dbt Labs & Hex: Partnering to enhance the modern data workspace](https://www.getdbt.com/blog/dbt-labs-hex-partnering-enhance-data-workspace.md): We've partnered with Hex to bring trust and speed to collaborative analytics workflows.
- [The dbt Cloud + Databricks experience is getting even better](https://www.getdbt.com/blog/dbt-cloud-databricks-experience.md): The dedicated dbt-databricks adapter is now on dbt Cloud.
- [Introducing 2 NEW dbt Learn advanced courses to help you prepare for the dbt Certification Exam](https://www.getdbt.com/blog/new-advanced-courses.md): dbt Labs has added two more courses to its library of free resources for the emerging analytics engineer.
- [dbt Labs Launches the dbt Semantic Layer, Enabling Greater Consistency Across Analytics Tools](https://www.getdbt.com/blog/dbt-labs-launches-the-dbt-semantic-layer-enabling-greater-consistency-across-analytics-tools.md)
- [dbt Labs Launches Python Support to Expand What Data Practitioners Can Accomplish with dbt](https://www.getdbt.com/blog/dbt-labs-launches-python-support-to-expand-what-data-practitioners-can-accomplish-with-dbt.md): dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
- [Announcing the New and Improved Cloud IDE](https://www.getdbt.com/blog/new-improved-cloud-ide.md): Today, dbt Labs is announcing the new and improved Cloud IDE, available to all users by the 28th of October
- [Introducing support for Python, dbt’s second language](https://www.getdbt.com/blog/introducing-support-for-python.md): dbt now supports Python models. Combine Python with SQL and Jinja to expand your data transformation workflows.
- [Meet the 2022 dbt Labs Partner Award winners](https://www.getdbt.com/blog/dbt-partner-day-awards.md): Taking a beat to recognize the partners and individuals whose contributions to dbt Labs and the dbt Community went above and beyond this past year.
- [Announcing dbt v1.3 and (soon) dbt-utils v1.0](https://www.getdbt.com/blog/announcing-dbt-v1.3-and-utils.md): Spotlight on what's new in the latest release of dbt — and a happy v1.0 birthday coming up for dbt-utils
- [Introducing the dbt Developer Hub: your new home base for the dbt Community](https://www.getdbt.com/blog/introducing-dbt-developer-hub-community-home-base.md): It is an incontrovertible truth of online communities that as they grow, new systems are required to keep them organized, friendly and inclusive.
- [Announcing our new dbt Cloud instance hosted in Frankfurt, Germany](https://www.getdbt.com/blog/dbt-cloud-instance-europe-frankfurt.md): A new data residency offering for dbt Cloud Enterprise customers in Europe.
- [Announcing dbt Cloud’s native integration with Azure DevOps](https://www.getdbt.com/blog/dbt-cloud-integration-azure-devops.md): A more ergonomic, safer version control experience is now here for dbt Cloud Enterprise customers.
- [dbt Labs Announces Key Details of Coalesce 2022 Conference for Analytics Engineering](https://www.getdbt.com/blog/dbt-labs-announces-key-details-of-coalesce-2022-conference-for-analytics-engineering.md): dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
- [How dbt Can Help Solve 4 Common Data Engineering Pain Points](https://www.getdbt.com/blog/how-dbt-can-help-solve-4-common-data-engineering-pain-points.md): We discuss four common pain points data teams experience and how dbt brings everyone into the data pipeline.
- [Coalesce 2022: Driving value for the data team and beyond](https://www.getdbt.com/blog/coalesce-2022.md): October 17-21, 2022: Coalesce is back and in-person! With 100+ speakers and sessions, 3 global locations and a virtual option, it’s a week you’re not going to want to miss. Find out what’s new and wh…
- [The dbt Cloud UI is getting a makeover](https://www.getdbt.com/blog/the-dbt-cloud-ui-is-getting-a-makeover.md): A brief update on the dbt Cloud UI and what is changing.
- [Monte Carlo and dbt Labs: Partnering for more reliable data](https://www.getdbt.com/blog/monte-carlo-dbt-labs-partnering-for-more-reliable-data.md): We've partnered with Monte Carlo to make it simpler for analytics engineers to supplement dbt testing with end-to-end observability.
- [dbt Labs Announces Formal Launch of its Technology Partner Program](https://www.getdbt.com/blog/dbt-labs-announces-formal-launch-of-its-technology-partner-program.md): dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
- [Introducing the dbt Labs Technology Partner Program](https://www.getdbt.com/blog/dbt-labs-technology-partner-program.md): Say hello to the newly formalized dbt Labs Technology Partner Program.
- [Write once, query anywhere with the dbt Semantic Layer](https://www.getdbt.com/blog/dbt-semantic-layer.md): Sharing a little more on our plans for the dbt Semantic Layer.
- [New in Core: easier access management with grants](https://www.getdbt.com/blog/teaching-dbt-about-grants.md): With v1.2, we've made it easier to manage who (and what) can read the tables and views dbt creates in your warehouse.
- [How We Rebuilt the dbt Cloud Scheduler](https://www.getdbt.com/blog/rebuilding-dbt-scheduler.md): Where we started... and where we're headed.
- [How Airflow + dbt Work Together](https://www.getdbt.com/blog/dbt-airflow.md): Sung Won Chung, Senior Solutions Architect at dbt Labs, answers common questions on how to pair dbt with Airflow.
- [Introducing the dbt Certification Program](https://www.getdbt.com/blog/dbt-certification-program.md): Introducing the new dbt Certification Program and the first dbt Analytics Engineering Certification exam.
- [Hello! And About the Cloud IDE...](https://www.getdbt.com/blog/hello-and-about-the-cloud-ide.md): A few words on the Cloud IDE, and how we’re planning to improve your experience in the coming months.
- [Designing a Deployment Workflow](https://www.getdbt.com/blog/dbt-live-apac-designing-a-deployment-workflow.md): Read this blog post to learn about how to design a development workflow.
- [How to Refactor Legacy SQL for Modularity](https://www.getdbt.com/blog/dbt-live-expert-series-emea-session.md): Sean McIntyre, Senior Solutions Architect at dbt Labs, demonstrated how to refactor long scripts for modularity.
- [Overriding Schema Generation](https://www.getdbt.com/blog/dbt-live-expert-series-recap-na.md): Read this blog post to learn about overriding schema generation.
- [A Good Problem to Have…](https://www.getdbt.com/blog/a-good-problem-to-have.md): Read this blog post to learn how dbt re-architected its scheduler to meet greater demand in dbt Cloud.
- [dbt Labs Announces Availability on Databricks Partner Connect](https://www.getdbt.com/blog/dbt-labs-announces-availability-on-databricks-partner-connect.md): dbt is a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse.
- [dbt Labs and Databricks: An expanding partnership](https://www.getdbt.com/blog/dbt-labs-and-databricks-an-expanding-partnership.md): Experiencing dbt’s workflow on the lakehouse has never been easier.
- [Reverse ETL: How to and why](https://www.getdbt.com/blog/reverse-etl-playbook.md): Reverse ETL is the process of syncing data from your data warehouse to where business users need the data.
- [Finding our next big problem: Why we need you at Coalesce](https://www.getdbt.com/blog/finding-our-next-big-problem.md): Coalesce is entering its third year with the same charter—elevate data practitioners building the future of analytics engineering.
- [dbt Labs raises $222M in Series D funding at $4.2B valuation led by Altimeter with participation from Databricks and Snowflake](https://www.getdbt.com/blog/dbt-labs-raises-222m-in-series-d-funding-at-4-2b-valuation-led-by-altimeter-with-participation-from-databricks-and-snowflake.md)
- [The next layer of the modern data stack](https://www.getdbt.com/blog/next-layer-of-the-modern-data-stack.md): dbt Labs raised another round of funding– $222m at $4.2b valuation. Existing investor Altimeter led the round, with participation from Databricks, GV, Salesforce Ventures, and Snowflake. The raise wi…
- [February 2022: Update on recent dbt Cloud incidents](https://www.getdbt.com/blog/february-2022-update-on-recent-dbt-cloud-incidents.md): Ongoing incidents with dbt Cloud have created slowness and lack of availability. Here is a recap of what happened and our plans to fix this.
- [The future of product at dbt Labs](https://www.getdbt.com/blog/the-future-of-product-at-dbt-labs.md): Explore the future of product innovation at dbt Labs, with new leadership and a focus on scaling analytics engineering solutions.
- [dbt Labs achieves ISO 27001:2013 and ISO 27701:2019 certifications](https://www.getdbt.com/blog/dbt-labs-iso-certifications.md): Covering both dbt Labs and dbt Cloud, these certifications represent a long-standing commitment to information security and privacy.
- [Licensing dbt: Apache 2.0, BSL, and Proprietary](https://www.getdbt.com/blog/licensing-dbt.md): The metrics layer generated a lot of buzz at Coalesce, prompting some exciting and important conversations.
- [The dbt Enterprise product roadmap: A look back at what launched this year, and what’s on the way in 2022](https://www.getdbt.com/blog/2022-dbt-enterprise-product-roadmap.md): Last year we placed a big bet on foundational work — stability, reliability, and speed. 12 months, and a 600% increase in enterprise business later, we're focused on establishing dbt as the default s…
- [dbt Core v1.0 is here: 200+ contributors, 5,000 commits, 100x faster parsing speed](https://www.getdbt.com/blog/dbt-core-v1-is-here.md): dbt Core v1.0.0 has arrived. This major milestone enables users with production-grade workflows to safely and reliably build on top of dbt Core for years to come. Take a look at how we got here, and…
- [NEW dbt Learn courses & badging now available!](https://www.getdbt.com/blog/new-learn-courses.md): dbt Labs now offers five free courses for the emerging analytics engineer. They will find everything they need to get started.
- [dbt Labs and Snowflake are building on a thriving partnership](https://www.getdbt.com/blog/dbt-labs-and-snowflake-are-building-on-a-thriving-partnership.md): Exciting developments in our partnership with Snowflake.
- [Trials and Tribulations of Incremental Models](https://www.getdbt.com/blog/trials-and-tribulations-of-incremental-models.md): Learn challenges with building incremental models at scale, and how our approach has evolved over time in a high growth company.
- [Modeling event data at scale](https://www.getdbt.com/blog/modeling-event-data-at-scale.md): Learn the differences between the cloud data warehouses as well as incrementalization, performance tuning and testing.
- [Introducing the activity schema: data modeling with a single table](https://www.getdbt.com/blog/activity-schema-data-modeling-with-a-single-table.md): Learn about a new data modeling approach called the activity schema.
- [Batch to Streaming in One Easy Step](https://www.getdbt.com/blog/batch-to-streaming-in-one-easy-step.md): How to get started with streaming analytics using the same analytics engineering skillset that keeps you productive.
- [Building an Open Source Data Stack](https://www.getdbt.com/blog/building-an-open-source-data-stack.md): Get the context you need to build your own analytics stack using only open-source tools.
- [Building a metadata ecosystem with dbt](https://www.getdbt.com/blog/building-a-metadata-ecosystem-with-dbt.md): Learn how dbt has empowered a new wave of ‘data practitioners’ across teams within the Data Mesh.
- [Automating Ambiguity: Managing dynamic source data using dbt macros](https://www.getdbt.com/blog/managing-dynamic-source-data-using-dbt-macros.md): Making life easier for both the engineers instrumenting tracking as well as the executives consuming downstream reporting.
- [dbt, Notebooks and the modern data experience](https://www.getdbt.com/blog/dbt-notebooks-modern-data-experience.md): How you can use Deepnote with dbt to introduce more collaboration into your team’s data modelling and exploratory workflows.
- [dbt for Financial Services: How to boost returns on your SQL pipelines using dbt, Databricks, and Delta Lake](https://www.getdbt.com/blog/dbt-for-financial-services-dbt-delta-lake-databricks.md): How to deploy modern investment management pipelines within minutes using dbt + Databricks.
- [The Call is Coming from Inside the Warehouse: Surviving Schema Changes with Automation](https://www.getdbt.com/blog/surviving-schema-changes-with-automation.md): We’ll show our method to automate source transformations.
- [Optimizing query run time with materialization schedules](https://www.getdbt.com/blog/optimizing-query-run-time-with-materialization-schedules.md): How my team decreased query time in Looker and saved Snowflake credits by materializing views and tables.
- [Observability within dbt](https://www.getdbt.com/blog/observability-within-dbt.md): This session showcases one of the projects that were associated with using the dbt run artifacts.
- [Introducing Environment Variables in dbt Cloud](https://www.getdbt.com/blog/introducing-environment-variables-in-dbt-cloud.md): Your code doesn't have to do the same thing everywhere it runs. Separate code from configuration - and set config based on context.
- [Refactoring legacy SQL to dbt](https://www.getdbt.com/blog/sql-refactoring-course.md): In an on-demand course, analytics engineers from dbt Labs unpack the refactoring process they've used across dozens of projects.
- [Adopting CI/CD with dbt Cloud](https://www.getdbt.com/blog/adopting-ci-cd-with-dbt-cloud.md): Choosing between continuous delivery and continuous deployment based on business needs
- [Getting ready for v1.0](https://www.getdbt.com/blog/getting-ready-for-v1-0.md): It's finally (almost) here. The best way to get ready is by upgrading *now* to the latest & greatest that dbt Core has to offer
- [On DAGs, Hierarchies, and IDEs](https://www.getdbt.com/blog/on-dags-hierarchies-and-ides.md): Learn how dbt combines DAGs and hierarchies, improving project navigation and development with a purpose-built dbt IDE.
- [We the purple people](https://www.getdbt.com/blog/we-the-purple-people.md): The data world needs more purple people — generalists who can navigate both the business context and the modern data stack.
- [dbt and Hightouch are putting your transformed data to work](https://www.getdbt.com/blog/dbt-and-hightouch-are-putting-transformed-data-to-work.md): Give your business teams access to transformed data in the tools they use every day. Hightouch now integrates with dbt to help you bring “Reverse ETL” to your stack.
- [Fishtown Analytics Rebrands as dbt Labs; Closes $150M to Develop Open-Source Analytics Engineering Software](https://www.getdbt.com/blog/fishtown-analytics-rebrands-as-dbt-labs-closes-150m-to-develop-open-source-analytics-engineering-software.md)
- [Of the Community, By the Community, For the Community](https://www.getdbt.com/blog/of-the-community-by-the-community-for-the-community.md): Fishtown Analytics– now dbt Labs– was founded to bring analytics engineering to everyone. $150m in new funding will fuel the next phase of that journey.
- [dbt + Materialize: Streaming to a dbt project near you](https://www.getdbt.com/blog/dbt-materialize-streaming-to-a-dbt-project-near-you.md): Materialize, the world’s first SQL-platform for processing streaming data, has officially launched a new dbt adapter.
- [Analytics Engineering for Everyone: Databricks in dbt Cloud](https://www.getdbt.com/blog/analytics-engineering-for-everyone-databricks-in-dbt-cloud.md): This SQL-first integration with Databricks means that analysts can build fully automated data pipelines in the same space that data engineers & data scientists work in their preferred frameworks.
- [The Modern Data Stack: Past, Present, and Future](https://www.getdbt.com/blog/future-of-the-modern-data-stack.md): My thoughts on where our space has been and where it might be going.
- [dbt + Databricks: Bringing analytics engineering to the lakehouse](https://www.getdbt.com/blog/analyticsengineeringwithdbtanddatabricks.md): Spark for analytics, for real: now in dbt Cloud.
- [A License to build the future](https://www.getdbt.com/blog/fishtown-analytics-announces-29-5m-fundraise.md): Fishtown Analytics has raised $29.5m in a Series B financing. New investor Sequoia Capital led the round with existing investors Andreessen Horowitz and Amplify Partners participating. Matt Miller of…
- [Perfect complements: Using dbt with Looker for effective data governance](https://www.getdbt.com/blog/perfect-complements-using-dbt-with-looker-for-effective-data-governance.md): Learn how a software development firm transformed their legacy data analytics approach by embracing analytics engineering.
- [Leveraging dbt metadata in data management](https://www.getdbt.com/blog/leveraging-dbt-metadata-in-data-management.md): Learn the important processes of a high-functioning data organization.
- [Seven use cases for dbt](https://www.getdbt.com/blog/seven-use-cases-for-dbt.md): Learn the seven use-cases that the team at EQT used to fuel their digital transformation program.
- [Presenting: SQLFluff](https://www.getdbt.com/blog/presenting-sqlfluff.md): Find out whether SQLFluff might help your teams be more productive with SQL.
- [Orchestrating dbt with Dagster](https://www.getdbt.com/blog/orchestrating-dbt-with-dagster.md): Learn how orchestrating dbt with Dagster allows you to place dbt in context, de-silo your operational systems and more.
- [Securing data at scale with dbt & Snowflake](https://www.getdbt.com/blog/securing-data-at-scale-with-dbt-and-snowflake.md): Learn how JetBlue approaches the problem of masking PII at scale by leveraging Snowflake features straight from their dbt project.
- [Building a marketing attribution model with dbt](https://www.getdbt.com/blog/building-a-marketing-attribution-model-with-dbt.md): Learn what you need to build a marketing attribution data model and why it's important to have one to evaluate your business.
- [Building a robust data pipeline with dbt, Airflow, and Great Expectations](https://www.getdbt.com/blog/building-a-robust-data-pipeline-with-dbt-airflow-and-great-expectations.md): Learn how dbt and Great Expectations complement each other.
- [Welcome! You're now a software developer.](https://www.getdbt.com/blog/welcome-youre-now-a-software-developer.md): Read this blog post to learn why analytics engineers are actually developers.
- [A Note to dbt Service Providers](https://www.getdbt.com/blog/a-note-to-dbt-service-providers.md): Fishtown Analytics started as a consulting company that competed with other dbt service providers. We are now a venture backed software company and our business model has fundamentally changed. Our r…
- [Welcome to the dbt ecosystem](https://www.getdbt.com/blog/the-dbt-ecosystem.md): Two amazing companies in the modern data stack–Fivetran and Census–have launched major integrations with dbt. Here's why I'm excited about this.
- [How I set up my conformed dimensional models](https://www.getdbt.com/blog/conformed-dimensional-models.md): A startup's guide to modeling data following Kimball best practices
- [Four Years In: From Misfits to Mainstream](https://www.getdbt.com/blog/four-years-in-from-misfits-to-mainstream.md): dbt is no longer a niche product and dbt Slack is no longer a community of misfits...we’ve gone mainstream, folks.
- [How to find a role in analytics engineering](https://www.getdbt.com/blog/how-to-find-a-role-in-analytics-engineering.md): This article is written for job seekers. I’ve gathered a lot of data over the course of a month-long search.
- [The farm-to-table testing framework: How to catch data quality issues before they break your dashboards](https://www.getdbt.com/blog/data-testing-framework.md): A holistic data testing framework to help you catch data quality issues before they impact your stakeholders.
- [Fishtown Analytics Announces $12.9M Fundraise](https://www.getdbt.com/blog/fishtown-analytics-announces-12-9m-fundraise.md): A Letter to the Community
- [Modeling marketing attribution](https://www.getdbt.com/blog/modeling-marketing-attribution.md): With raw data, SQL, and dbt, the previously complex problem of marketing attribution can become beautifully simple.
- [Modeling subscription revenue](https://www.getdbt.com/blog/modeling-subscription-revenue.md): Aa a data analyst, you may be asked to analyze metrics like churn, upgrades, and downgrades. Here's how to do this with dbt.
- [Announcing the dbt IDE](https://www.getdbt.com/blog/announcing-the-dbt-ide.md): With the dbt Integrated Developer Environment (IDE) you can orchestrate the entire analytics engineering workflow in your browser.
- [Write better SQL: In defense of group by 1](https://www.getdbt.com/blog/write-better-sql-a-defense-of-group-by-1.md): Even if you disagree, I hope this rant will inspire you to be more opinionated in your SQL style.
- [Analytics Engineering: Operating with Leverage](https://www.getdbt.com/blog/analytics-engineers-operate-with-leverage.md): If your time is valuable, it should be important to you to operate with the highest possible leverage.
- [How to track data changes with dbt snapshots](https://www.getdbt.com/blog/track-data-changes-with-dbt-snapshots.md): How do you model data when the record in the data warehouse keeps changing? We'll cover how to do this with dbt snapshots.
- [How to review an analytics pull request](https://www.getdbt.com/blog/how-to-review-an-analytics-pull-request.md): Learn best practices for reviewing analytics pull requests, from checking for modularity, CI tests, documentation, and code style.
- [How Monzo, the UK’s favorite mobile-only bank, is rolling out dbt](https://www.getdbt.com/blog/how-monzo-the-uks-favorite-mobile-only-bank-is-rolling-out-dbt.md): Stephen Whitworth, Data Engineering Lead at Monzo, spoke at the London dbt Meetup recently. Here are my thoughts on his talk.
- [Five principles that will keep your data warehouse organized](https://www.getdbt.com/blog/five-principles-that-will-keep-your-data-warehouse-organized.md): Entropy tends to increase in closed systems. So too is the nature of data warehouses: unless action is taken to maintain order.
- [dbt v0.14.0: Better serving our users](https://www.getdbt.com/blog/dbt-v0-14-0-better-serving-our-users.md): dbt v0.14.0 lays the foundation for dbt Develop -- a query editor which leverages the brand new dbt server.
- [Three years in: things are heating up](https://www.getdbt.com/blog/three-years-in-things-are-heating-up.md): 680 companies use dbt every week, 2100 members of dbt Slack, dbt Cloud processed 140k jobs from 200 accounts in June, and we're hosting regular dbt Meetups in 3 cities (NY, SF, London). What a year!
- [How to unnest arrays in Redshift](https://www.getdbt.com/blog/how-to-unnest-arrays-in-redshift.md): Unnesting arrays on Redshift is a pain, but it’s doable. This post walks through the entire process, start to finish.
- [What is analytics engineering?](https://www.getdbt.com/blog/what-is-analytics-engineering.md): Analytics engineers turn raw data into clean, reliable datasets, bridging data engineering and analysis for better decisions.
- [How we configure Snowflake](https://www.getdbt.com/blog/how-we-configure-snowflake.md): We've set up Snowflake accounts for quite a few clients and have an approach that we rather like.
- [Is dbt the right tool for my data transformations?](https://www.getdbt.com/blog/is-dbt-the-right-tool-for-my-data-transformations.md): As dbt is adopted by a wider community, we want to be extremely clear about when dbt is, and is not, a fit for your project.
- [Introducing dbt Cloud](https://www.getdbt.com/blog/introducing-dbt-cloud.md): The Fishtown Analytics team is incredibly excited to announce that we’ve re-launched Sinter as dbt Cloud!
- [What’s in a name?](https://www.getdbt.com/blog/whats-in-a-name.md): Sinter just became dbt Cloud. Why the re-brand?
- [How we made dbt runs 30% faster](https://www.getdbt.com/blog/how-we-made-dbt-runs-30-faster.md): In dbt’s latest release, we made some significant changes to how dbt processes these DAGs, and we’re seeing that these changes make dbt projects run about 30% faster.
- [Two years in and it's just getting good](https://www.getdbt.com/blog/two-years-in-and-it-s-just-getting-good.md): This week marks the second anniversary of Fishtown Analytics. Here's what we learned.
- [One analyst's guide for going from good to great](https://www.getdbt.com/blog/one-analysts-guide-for-going-from-good-to-great.md): If you’re a hotshot junior analyst and you want a guide for breaking through this skills plateau, this guide is for you.
- [On two years of dbt](https://www.getdbt.com/blog/on-two-years-of-dbt.md): Today, March 9th, 2018, dbt turned two years old. Wow. Here's where we've been and where we're heading.
- [“How do you decide what to model in dbt vs LookML?”](https://www.getdbt.com/blog/how-do-you-decide-what-to-model-in-dbt-vs-lookml.md): I got this question on my last post. It is a good one. This post is my attempt to answer it.
- [How to Integrate dbt and Looker with User Attributes](https://www.getdbt.com/blog/how-to-integrate-dbt-and-looker-with-user-attributes.md): dbt and Looker were built with the same ethos: analysts should be working in code.
- [Using Redshift’s late binding views with dbt](https://www.getdbt.com/blog/using-redshift-s-late-binding-views-with-dbt.md): dbt version 0.9.1 adds support for late binding views in Redshift. This post will explain late binding views and explore some potential uses
- [Looker Explores: Best practices](https://www.getdbt.com/blog/looker-explores-best-practices.md): Learn best practices for designing Looker explores that avoid poor query performance and confusing user experiences.
- [What’s new in dbt 0.9.0](https://www.getdbt.com/blog/what-s-new-in-dbt-0-9-0.md): We’re thrilled to announce the release of dbt version 0.9.0, including support for pivoting out columns and ignoring incongruent tables.
- [What, exactly, is dbt?](https://www.getdbt.com/blog/what-exactly-is-dbt.md): Discover what dbt is, how it transforms data, and why it’s a game-changer for modern analytics engineering teams.
- [Welcome to Fishtown Analytics](https://www.getdbt.com/blog/welcome-to-fishtown-analytics.md): This post is one of the first things that new employees read upon joining our team.
- [Analytics Playbook: Create a log of historical data for richer reporting](https://www.getdbt.com/blog/analytics-playbook-log-tables.md): How to create historical records in your database using dbt data logs.
- [One year in: we're still in business](https://www.getdbt.com/blog/one-year-in-we-re-still-in-business.md): Fishtown Analytics celebrates its one year anniversary today.
- [The startup founder's guide to analytics](https://www.getdbt.com/blog/the-startup-founder-s-guide-to-analytics.md): You need analytics.
- [The most underutilized function in SQL](https://www.getdbt.com/blog/the-most-underutilized-function-in-sql.md): I’ve worked with over a dozen venture-funded startups. There’s a single SQL function that I have come to use surprisingly often.
- [Welcome to Fishtown](https://www.getdbt.com/blog/welcome-to-fishtown.md): There’s a new small business that just opened up in Fishtown and it’s not a gin bar or artisanal coffee shop.
- [Goodbye RJMetrics, Hello Fishtown Analytics](https://www.getdbt.com/blog/goodbye-rjmetrics-hello-fishtown-analytics.md): Today is a big day. Today, Magento announced it has purchased RJMetrics. The RJMetrics product will form the foundation of Magento Analytics, giving Magento users powerful tools to analyze their cust…
- [It’s time for open source analytics](https://www.getdbt.com/blog/it-s-time-for-open-source-analytics.md): When a software engineer starts a new project, their first step is almost always to survey the ecosystem of open-source software.
- [Building a Mature Analytics Workflow](https://www.getdbt.com/blog/building-a-mature-analytics-workflow.md): Learn how dbt Labs helps teams build collaborative, scalable analytics workflows with modularity, testing, and version control.

## Case studies

- [Boatsetter increases return on ad spend by 100%+ and scales AI](https://www.getdbt.com/case-studies/boatsetter.md): Boatsetter, one of the world's largest peer-to-peer boat rental marketplaces, connects millions of guests with boat owners across more than 700 destinations worldwide, and more than doubled its retur…
- [How RMIT University evolved its data platform without a disruptive redesign using the dbt Fusion engine](https://www.getdbt.com/case-studies/rmit-university.md): RMIT University, an international university with 100,000+ students, cut data pipeline wait times from minutes to seconds as its shared analytics platform scaled across 20+ teams.
- [Lendi builds AI-native future with dbt and trusted data](https://www.getdbt.com/case-studies/lendi.md): Lendi, Australia's leading digital-first home loan platform, cut platform outages to zero and freed its engineering team to build instead of firefight.
- [How PetScreening scales a 5-person data team across 6 business domains with dbt](https://www.getdbt.com/case-studies/petscreening.md): PetScreening supports property managers across the US, now shipping data updates every 15 minutes with dbt.
- [impact.com scales a $100B+ data platform with dbt to power decision-making and AI readiness](https://www.getdbt.com/case-studies/impact.com.md): How impact.com scaled a $100B+ data platform, doubled model output, and cut troubleshooting time from two days to one hour.
- [How Kaizen Gaming cut costs and delivers insights faster](https://www.getdbt.com/case-studies/kaizen-gaming.md): Learn how dbt helped Kaizen strengthen its data foundation, increase consistency, and improve operational efficiency
- [From onboarding to AI-readiness: J.Crew’s modernization journey with dbt Labs Services](https://www.getdbt.com/case-studies/j-crew.md): By working with dbt Labs Training and a Resident Architect, J.Crew’s data team accelerated a complex modernization during the peak holiday season.
- [CHG Healthcare gets their data modernization right the first time](https://www.getdbt.com/case-studies/chg-healthcare.md): When CHG Healthcare needed to move to the cloud, they partnered with a dbt Labs Resident Architect. Now they’re ready to scale for years to come.
- [WHOOP improves efficiency by implementing dbt Core and migrating to dbt Cloud](https://www.getdbt.com/case-studies/whoop.md): At WHOOP, every decision starts with data. Migrating from dbt Core to dbt Cloud was critical for improving data integrity, accuracy, and governance at scale
- [Bilt Rewards builds scalable incremental models quickly](https://www.getdbt.com/case-studies/bilt-rewards-professional-services.md): Bilt Rewards needed creative solutions to handle its most complex datasets. By partnering with a dbt Labs Resident Architect, Bilt unlocked greater value—and dramatically reduced data warehouse costs.
- [Enpal fuels data efficiency with dbt and saves 70% on data costs](https://www.getdbt.com/case-studies/enpal.md)
- [Bilt Rewards saves 80% in analytics costs with the dbt Semantic Layer](https://www.getdbt.com/case-studies/bilt-rewards.md): How Bilt Rewards leverages the dbt Semantic Layer to deliver reliable, personalized embedded analytics to their partners and customers.
- [Symend implements a robust data foundation fit for scale with dbt Cloud](https://www.getdbt.com/case-studies/symend.md): This is the story of how dbt Cloud enabled Symend to improve data quality and decrease costs
- [Siemens implements a data mesh architecture at scale with dbt Cloud](https://www.getdbt.com/case-studies/siemens.md): How Siemens increased data velocity with a decentralized and accessible data infrastructure, used by hundreds of thousands of employees
- [AXS delivers business value with an analytics engineering workflow](https://www.getdbt.com/case-studies/axs.md): This is the story of how the ticketing industry leader improved data velocity with dbt Cloud
- [Rocket Money modernizes financial reporting with dbt Cloud](https://www.getdbt.com/case-studies/rocket-money.md): How Rocket Money transformed financial processes and cross-functional collaboration with a dbt-powered Quote-to-Cash system
- [DISH Digital Solutions scales data operations with dbt Cloud](https://www.getdbt.com/case-studies/dish-digital-solutions.md): How dbt Cloud’s data development workflow helped DISH Digital Solutions increase data quality, velocity, and governance
- [Retool builds scalable, self-serve analytics with dbt Cloud and Databricks](https://www.getdbt.com/case-studies/retool.md): Discover how Retool streamlined data workflows with dbt Cloud and Databricks, enabling scalable and easy-to-maintain analytics.
- [Purple builds data trust with dbt Cloud](https://www.getdbt.com/case-studies/purple.md): Learn how Purple used dbt Cloud to boost data quality and optimize costs during a company acquisition.
- [One NZ unifies customer data with dbt Cloud and Data Domain](https://www.getdbt.com/case-studies/one-nz.md): Learn how New Zealand’s largest telecom streamlined customer tracking and cross-sell enablement with dbt Cloud and Data Domain.
- [Plentific implements a robust, scalable data workflow with dbt Cloud](https://www.getdbt.com/case-studies/plentific.md): Learn how Plentific leverages dbt Cloud to ensure accuracy and stability across data pipelines and reporting.
- [Secret Escapes modernizes web analytics with dbt Cloud](https://www.getdbt.com/case-studies/secret-escapes.md): Discover how Secret Escapes empowers analysts to build business-critical data products safely with dbt Cloud.
- [Watercare builds a scalable, resilient data warehouse with dbt Cloud](https://www.getdbt.com/case-studies/watercare.md): Discover how Watercare modernized its analytics with dbt Cloud, moving from manual processes to a scalable, resilient data warehouse.
- [Nitrogen accelerates data velocity with dbt Cloud](https://www.getdbt.com/case-studies/nitrogen.md): Learn how Nitrogen streamlined data workflows with dbt Cloud, cutting integration time in half and reducing operational costs.
- [Fullscript doubles data sources with dbt Cloud and Secoda](https://www.getdbt.com/case-studies/fullscript.md): Learn how Fullscript used dbt Cloud and Secoda to scale data workflows and modernize its stack during a company merger.
- [Rebtel improves data quality and data team productivity by migrating from Matillion to dbt Cloud](https://www.getdbt.com/case-studies/rebtel.md): Discover how Rebtel streamlined data workflows and adopted engineering best practices with dbt Cloud.
- [Fundrise increases data velocity and stakeholder trust with dbt Cloud](https://www.getdbt.com/case-studies/fundrise.md): This is the story of how Fundrise leverages dbt Cloud to scale its data infrastructure and unlock time for high-impact analysis
- [LendInvest speeds loan processing and reduces risk with dbt Cloud and Synq](https://www.getdbt.com/case-studies/lendinvest.md): Learn how LendInvest uses dbt Cloud and Synq to proactively detect and resolve data issues before they impact customers.
- [Lundbeck centralizes marketing data with dbt Cloud to drive omnichannel strategy](https://www.getdbt.com/case-studies/lundbeck.md): Discover how Lundbeck used dbt Cloud and Snowflake to unify marketing data and boost top-line impact.
- [Code42 increased data team productivity by switching from dbt Core to dbt Cloud](https://www.getdbt.com/case-studies/code42.md): This is the story of how Code42's data team delivers revenue-impacting insights by switching from dbt Core to dbt Cloudto the whole organization
- [Inventa Builds Confidence in Data Through the dbt Semantic Layer](https://www.getdbt.com/case-studies/inventa.md): This is the story of how Inventa uses dbt Cloud to boost accuracy and domain ownership of its data
- [Tempo builds a virtual personal trainer with dbt Cloud and Stemma](https://www.getdbt.com/case-studies/tempo.md): Discover how Tempo uses dbt Cloud and Stemma to enhance user experience and e-commerce operations with collaborative data development.
- [Wellthy automates real-time data alerts with dbt Cloud, capturing $80K in revenue](https://www.getdbt.com/case-studies/wellthy.md): Learn how Wellthy used Snowflake, dbt Cloud, and Hightouch to power real-time alerts and notify teams of data issues.
- [Vivian Health Connects Healthcare Professionals to their Dream Job with dbt Cloud and Metaplane](https://www.getdbt.com/case-studies/vivian-health.md): Discover how Vivian Health uses dbt Cloud and Metaplane to deliver a seamless job search experience for healthcare professionals.
- [Vida Health uses Fivetran and dbt Cloud to provide personalized healthcare](https://www.getdbt.com/case-studies/vida-health.md): How a well-integrated modern data stack empowered Vida Health’s data team to deliver fast, reliable insights and operationalize data for care delivery
- [McDonald’s Nordics establishes a nimble and standardized Data Vault structure with dbt Cloud](https://www.getdbt.com/case-studies/mcdonalds-nordics.md): This is the story of how dbt Cloud enabled McDonald’s Nordics to implement Data Vault 2.0
- [Zip unifies audience segmentation with Snowflake, Census, and dbt Cloud](https://www.getdbt.com/case-studies/zip.md): Discover how Zip modernized its data platform and built a scalable, fit-for-purpose modern data stack.
- [TIER Mobility manages 350,000+ e-scooters and e-bikes with dbt Cloud](https://www.getdbt.com/case-studies/tier-mobility.md): Discover how TIER uses dbt Cloud to support rapid growth and streamline data operations.
- [Deputy improves accuracy and speed with dbt Cloud](https://www.getdbt.com/case-studies/deputy.md): This is the story of how Deputy used dbt Cloud to improve the accuracy and speed of their data products, building confidence and trust
- [SpotOn reduces time to actionable insights by 6x](https://www.getdbt.com/case-studies/spoton.md): This is the story of how SpotOn built a scalable data platform with Snowflake, dbt Cloud, and Metaplane
- [Car & Classic boosts reporting speed 10x with Metaplane, Snowflake, and dbt Cloud](https://www.getdbt.com/case-studies/car-classic.md): See how Car & Classic built trust in their data and achieved 10x faster report load times with Metaplane, Snowflake, and dbt Cloud.
- [Nasdaq empowers business users with dbt Cloud and a modern data stack](https://www.getdbt.com/case-studies/nasdaq.md): Nasdaq modernized data workflows with dbt Cloud, boosting collaboration, data access, and business insights.
- [Blend scales the impact of reliable data with dbt Cloud and Monte Carlo](https://www.getdbt.com/case-studies/blend.md): Discover how Blend used dbt Cloud and data observability to deliver faster, more trustworthy insights for top financial institutions.
- [Reforge uses dbt to 3x their team and save 18 hours a week](https://www.getdbt.com/case-studies/reforge.md): Reforge is a learning and community platform that helps tech professionals do the best work of their careers. Reforge connects its members to industry experts and industry-leading content, and teache…
- [Ramp drives 25% increase in new business with dbt](https://www.getdbt.com/case-studies/ramp.md): Discover how Ramp created a new sales lead source with Snowflake, dbt Cloud, and Hightouch.
- [Sunrun enables last mile modeling with dbt Cloud](https://www.getdbt.com/case-studies/sunrun.md): This is the story of how Sunrun got 40 analysts from across the business to develop together
- [Red Ventures reaches the right customers with data and AI](https://www.getdbt.com/case-studies/red-ventures.md): This is the story of Red Ventures optimizes marketing campaigns to boost value for its clients with Databricks, Fivetran, and dbt
- [Yummy & dbt create a new standard for startups in Latin America](https://www.getdbt.com/case-studies/yummy.md): Learn how Yummy used dbt Cloud to unify data across four business verticals and streamline operations.
- [Whatnot leverages data to pioneer social commerce](https://www.getdbt.com/case-studies/whatnot.md): This is the story of how Whatnot uses dbt and Hex to unite data teams and speed data development
- [Aktify democratizes data access with Databricks Lakehouse Platform and dbt](https://www.getdbt.com/case-studies/aktify.md): T his is the story of how Aktify uses Databricks and dbt to eliminate manual tasks and errors from its data transformations.
- [Pepperstone creates data decision makers can rely on](https://www.getdbt.com/case-studies/pepperstone.md): This is the story of how Pepperstone uses dbt to create data decision-makers can rely on
- [SafetyCulture gets serious about company OKRs with dbt Cloud](https://www.getdbt.com/case-studies/safetyculture.md): This is the story of how SafetyCulture united its data workflow to drive the company’s yearly objectives and provided scalable and trustworthy data with dbt
- [Fortune 500 oil & gas company embraces self-service analytics with agile data management](https://www.getdbt.com/case-studies/oil-and-gas.md): Discover how a Fortune 500 oil & gas company ditched legacy data warehouses for agile, self-service analytics.
- [HubSpot empowers analysts to own their tools with dbt](https://www.getdbt.com/case-studies/hubspot.md): This is the story of HubSpot’s journey toward creating a more productive, happier, and scalable analytics team.
- [JetBlue eliminates data engineering bottlenecks with dbt](https://www.getdbt.com/case-studies/jetblue.md): Learn how JetBlue modernized workflows and infrastructure to democratize data access company-wide.

## Resources

- [dbt State: build what's changed, skip what hasn't](https://www.getdbt.com/resources/dbt-state-resource.md): dbt State optimizes every model run by building only what's changed — reducing warehouse costs and speeding up development.
- [The data infrastructure for agents you can trust](https://www.getdbt.com/resources/fivetran-dbt-labs-merger-overview.md): Fivetran + dbt Labs deliver the fresh, governed data infrastructure AI agents need to move from experimentation to production.
- [dbt Wizard: the AI agent built for analytics engineering](https://www.getdbt.com/resources/dbt-wizard-resource.md): Meet dbt Wizard — the AI agent that knows your dbt project, checks its own work, and helps you ship faster.
- [The analyst revolution: Unlocking tomorrow’s AI initiatives](https://www.getdbt.com/resources/the-analyst-revolution-unlocking-tomorrows-ai-initiatives.md): How modern organizations eliminate data bottlenecks to gain a competitive advantage
- [The dbt Fusion engine: The foundation for analytics and AI](https://www.getdbt.com/resources/the-foundation-for-analytics-and-ai-fusion-report.md): dbt Core set the standard for analytics engineering. The dbt Fusion engine raises it.
- [Self-hosting dbt vs. dbt platform](https://www.getdbt.com/resources/self-hosting-dbt-vs-dbt-platform.md): Compare what you get when you move from self-hosted dbt to a fully managed dbt platform, and what it costs to stay where you are.
- [2026 State of Analytics Engineering Report](https://www.getdbt.com/resources/state-of-analytics-engineering-2026.md): AI is embedded. Now comes the harder part: governance, trust, and data quality that can keep pace.
- [Solving the data readiness conundrum](https://www.getdbt.com/resources/solving-the-data-readiness-conundrum.md): Mid-market best practices for excelling with AI and advanced analytics
- [IDC report: The business value of dbt](https://www.getdbt.com/resources/the-business-value-of-dbt-idc-report.md): Learn how teams use dbt to boost developer velocity, cut rework, and replace legacy tools with scalable, governed workflows.
- [An analyst’s guide to working with data engineering](https://www.getdbt.com/resources/analysts-guide-to-working-with-data-engineering.md): How governed collaboration between analysts and engineers enables fast, trusted, and scalable analytics.
- [Structured for intelligence: Why Al needs governed, discoverable, and provisioned data](https://www.getdbt.com/resources/structured-for-intelligence-why-al-needs-governed-discoverable-and-provisioned-data.md): Structured for Intelligence shows how to build platforms designed for AI success.
- [2025 State of Analytics Engineering Report](https://www.getdbt.com/resources/state-of-analytics-engineering-2025.md): The 2025 State of Analytics Engineering Report highlights a sector that is evolving at breakneck speed.
- [The Analytics Development Lifecycle (ADLC)](https://www.getdbt.com/resources/the-analytics-development-lifecycle.md): Explore how software engineering practices can enhance all layers of analytics.
- [29 ways to optimize costs in data pipelines, workflows & analyses](https://www.getdbt.com/resources/29-ways-to-optimize-costs-in-data-pipelines-workflows-and-analyses.md): Tactics to cut costs, boost efficiency, and free up your team for high-impact work—without overhauling your data pipelines.
- [How to do analytics at scale: 10 tips from data leaders](https://www.getdbt.com/resources/data-leaders-analytics-at-scale.md): See actionable insights from data leaders on scaling analytics with transparency, team alignment, and the right tools.
- [Unlocking the power of AI with dbt Cloud](https://www.getdbt.com/resources/unlocking-the-power-of-AI-with-dbt-Cloud.md): Learn how dbt ensures trustworthy AI through governance, data quality, and semantic modeling for scalable insights.
- [A guide to data mesh](https://www.getdbt.com/resources/a-guide-to-data-mesh-download.md): Download our guide on the four principles of data mesh to build your own mesh architecture
- [dbt Cloud: The control plane for data collaboration at scale](https://www.getdbt.com/resources/whitepaper-the-control-plane-for-data-collaboration-at-scale.md): Learn more about the various platform features of dbt Cloud and how it serves as a control plane for data collaboration at scale.
- [Manage data complexity at scale](https://www.getdbt.com/resources/manage-data-complexity-at-scale-ebook.md): Learn how to scale data workflows, build trust, and cut insight costs as complexity grows—straight from analytics leaders.
- [How Fivetran and dbt help with ELT](https://www.getdbt.com/resources/how-fivetran-and-dbt-help-with-elt.md): Learn how Fivetran and dbt streamline ELT processes, automating data pipelines for faster, more efficient analytics.
- [Accelerators for cloud data platform transition](https://www.getdbt.com/resources/accelerators-for-cloud-data-platform-transition-guide.md): Accelerate your cloud data platform transition with dbt Cloud. Build pipelines, empower teams, and adapt governance effectively.
- [Building the business case for dbt Cloud](https://www.getdbt.com/resources/making-the-case-for-dbt-cloud.md): Learn how to align dbt Cloud with business objectives, tackle common challenges, and migrate smoothly.
- [Achieve a 194% ROI with dbt](https://www.getdbt.com/resources/study-forrester-tei.md): Discover how dbt impacts ROI, boosting data governance, accessibility, and scalability for greater trust in your data..
- [From data chaos to agent-accessible: How to move up the AI data maturity curve](https://www.getdbt.com/resources/webinars/from-data-chaos-to-agent-accessible-how-to-move-up-the-ai-data-maturity-curve.md): Dive into the five-stage framework for AI data maturity, and what it takes to climb from one stage to the next.
- [Building the interface for AI agents: MCP, the dbt Semantic Layer, and context engineering](https://www.getdbt.com/resources/webinars/building-the-interface-for-ai-agents-mcp-the-dbt-semantic-layer-and-context-engineering.md): Learn how to make dbt-modeled data agent-ready using MCP and the dbt Semantic Layer.
- [dbt Core v1.12 Live: Release updates, the road to dbt Core v2.0](https://www.getdbt.com/resources/webinars/dbt-core-v1-12-live.md): Find out what shipped in v1.12, why it matters in practice, and how to plan your move to dbt Core v2.0
- [dbt State in practice: what it is, how it works, and how to tune it](https://www.getdbt.com/resources/webinars/dbt-state-in-practice.md): A deep dive into how dbt State spots real changes, skips needless rebuilds, and what it costs to turn on.
- [dbt platform demo](https://www.getdbt.com/resources/webinars/dbt-platform-live-demo.md): Watch a one-hour walkthrough of the dbt platform
- [Ship faster, spend less, and trust your data — for AI and beyond](https://www.getdbt.com/resources/webinars/ship-faster-spend-less-and-trust-your-data-for-ai-and-beyond.md): In this webinar, we'll show you what changes when you bring that toolchain together under the dbt platform.
- [Virtual dbt + Snowflake hands-on lab](https://www.getdbt.com/resources/webinars/dbt-snowflake-virtual-hands-on-lab-build-a-production-ai-agent-grounded-in-trusted-data.md): Raw data to AI agent in one session. Build a production-ready pipeline with dbt and Snowflake Cortex.
- [Fivetran + dbt Labs: The future of dbt Core v2.0, what we're building together, and live Q&A](https://www.getdbt.com/resources/webinars/fivetran-dbt-labs-the-merger-what-s-shipping-in-dbt-and-live-q-and-a.md): Learn about dbt Core v2.0, dbt State, and dbt Wizard, AI Connector Builder, Agents Schema, and dbt Charts.
- [dbt Semantic Layer workshop: From models to metrics](https://www.getdbt.com/resources/webinars/from-models-to-metrics-dbt-semantic-layer-workshop.md): Learn how to use the dbt Semantic Layer to define, query, and deliver metrics your whole team can trust.
- [dbt State: Build what's changed, skip what hasn't](https://www.getdbt.com/resources/webinars/dbt-state-build-what-s-changed-skip-what-hasn-t.md): Achieve fewer unnecessary model runs, real compute savings, and hours back for your team to focus on work that actually matters.
- [dbt on Microsoft Azure Multi-tenant AU](https://www.getdbt.com/resources/webinars/dbt-on-microsoft-azure-multi-tenant-au.md): Multi-tenant dbt on Azure, now in Australia
- [Get your data AI ready with dbt and Snowflake](https://www.getdbt.com/resources/webinars/get-your-data-ai-ready-with-dbt-and-snowflake.md): Data without context isn't AI ready. Learn how dbt and Snowflake give AI the structure it needs to work.
- [Community feedback session: Iceberg catalogs, revisited](https://www.getdbt.com/resources/webinars/community-feedback-session-iceberg-catalogs-revisited.md): Join a casual session with engineers to share feedback, explore Iceberg improvements, and influence what’s next.
- [dbt Labs + Microsoft Fabric in action: A step-by-step analytics engineering demo](https://www.getdbt.com/resources/webinars/dbt-labs-microsoft-fabric-in-action-a-step-by-step-analytics-engineering-demo.md): See dbt + Microsoft Fabric in action—build, test, and deploy a full analytics workflow live.
- [The future is open: Building a flexible, AI-ready data stack without lock-in](https://www.getdbt.com/resources/webinars/the-future-is-open-building-a-flexible-ai-ready-data-stack-without-lock-in.md): Data teams can’t rebuild everything at once. Learn how open, modular stacks create flexibility—and power reliable, AI-ready data.
- [The next era of data: Build an open infrastructure for scale and AI](https://www.getdbt.com/resources/webinars/the-next-era-of-data-build-an-open-infrastructure-for-scale-and-ai.md): Move beyond fragmented tools. Build an open data infrastructure for scalable, governed, AI-ready data.
- [How Nasdaq productized a governed intelligence layer with dbt + Databricks for financial market infrastructure](https://www.getdbt.com/resources/webinars/how-nasdaq-productized-a-governed-intelligence-layer-with-dbt-databricks-for-financial-market.md): How Nasdaq, dbt, and Databricks help FMIs scale governed data and enable AI-ready, trusted analytics.
- [2026 State of Analytics Engineering](https://www.getdbt.com/resources/webinars/2026-state-of-analytics-engineering-virtual-event.md): Join three top minds in data and analytics as they break down the biggest shifts shaping analytics engineering in 2026.
- [Ship smarter agents: Building for production with dbt Agent Skills](https://www.getdbt.com/resources/webinars/ship-smarter-agents-building-for-production-with-dbt-agent-skills.md): Learn how dbt Agent Skills give agents trusted access to your data layer and how Factory.ai moved from prototype to production.
- [Fast-Track Your Lakehouse: Accelerating Use Case Onboarding with dbt and Databricks](https://www.getdbt.com/resources/webinars/fast-track-your-lakehouse-accelerating-use-case-onboarding-with-dbt-and-databricks.md): Stop rewriting transformations. Shift existing dbt projects to Databricks and speed up use case delivery.
- [Rewrite the rules for data and AI: USAA’s path towards a more perfect pipeline](https://www.getdbt.com/resources/webinars/rewrite-the-rules-for-data-and-ai-in-texas-fusion-ai-and-usaa-s-path-towards-a-more-perfect.md): Rewrite the rules for data and AI: dbt’s platform direction, plus USAA’s CI/CD and testing journey to restore trust.
- [Building dbt models faster with Google AI](https://www.getdbt.com/resources/webinars/building-dbt-models-faster-with-google-ai.md): See how Gemini AI and the dbt MCP server automate model building, testing, and debugging for faster dbt workflows on BigQuery.
- [Modeling ERP data in dbt: Best practices for reliable reporting](https://www.getdbt.com/resources/webinars/modeling-erp-data-in-dbt-best-practices-for-reliable-reporting.md): Learn how to use dbt to transform raw ERP extracts into governed, tested, analytics-ready models
- [Modernizing Financial Services: Architecting Governance, Agility, and Trust with dbt](https://www.getdbt.com/resources/webinars/modernizing-financial-services.md): The Guide to Modern Data Transformation in Financial Services
- [dbt Core v1.11 Live: Release updates, roadmap, and Q&A with the dbt Core team](https://www.getdbt.com/resources/webinars/dbt-core-1-11-live-release-updates-roadmap.md): Watch demos of key updates, get roadmap context, and join the live Q&A in this fun, dbt Core release party!
- [Modernize Your dbt Project: Upgrade to Fusion in Practice](https://www.getdbt.com/resources/webinars/modernize-your-dbt-project-upgrade-to-fusion-in-practice-workshop.md): Upgrade your dbt project to Fusion with confidence. Get a clear, practical path to production.
- [Ready for the dbt Fusion engine? A practical framework for modern data teams](https://www.getdbt.com/resources/webinars/are-you-ready-for-the-dbt-fusion-engine.md): Learn how modern data teams assess Fusion readiness and turn it into a clear plan for evolving their dbt practice.
- [Make your data AI ready with dbt and Snowflake](https://www.getdbt.com/resources/webinars/make-your-data-ai-ready-with-dbt-and-snowflake.md): AI is only as powerful as the meaning behind your data.
- [Scale dbt without scaling waste: How Fusion cuts redundant model runs](https://www.getdbt.com/resources/webinars/how-fusion-cuts-redundant-model-runs.md): Learn how dbt Fusion helps data teams work smarter, ship faster, and spend less time rebuilding.
- [Operationalize analytics agents: dbt AI updates + Mammoth’s AE agent in action](https://www.getdbt.com/resources/webinars/operationalize-analytics-agents-dbt-ai-updates-mammoth-s-ae-agent-in-action.md): See real examples of AI agents powered by dbt—automating analytics without breaking governance or trust.
- [From Stored Procedures to Scalable Data with Zopa](https://www.getdbt.com/resources/webinars/from-stored-procedures-to-scalable-data.md): You’ll learn how Zopa moved from brittle, hard-to-change pipelines to a scalable hub-and-spoke model using dbt Mesh
- [Closing the context gap: Cribl’s blueprint for trusted AI with dbt + Omni](https://www.getdbt.com/resources/webinars/closing-the-context-gap-cribls-blueprint-for-trusted-ai-with-dbt-omni.md): How Cribl uses dbt + Omni to close the AI context gap—building trusted, governed analytics with a live demo.
- [Delivering reliable AI with the dbt Semantic Layer and dbt MCP Server](https://www.getdbt.com/resources/webinars/delivering-reliable-ai-with-the-dbt-semantic-layer-and-dbt-mcp-server.md): Learn how to govern context, reduce hallucinations, and scale AI with confidence in this live virtual event.
- [Maximizing the business value of your data platform with dbt](https://www.getdbt.com/resources/webinars/maximizing-the-business-value-of-your-data-platform-with-dbt.md): Maximize the business value of your data platform with dbt and deliver impact, not just dashboards.
- [Introducing ADE-bench, the world’s first comprehensive benchmark for AI driven analytics and data engineering](https://www.getdbt.com/resources/webinars/analytics-data-engineer-bench.md): Introducing ADE-bench, the world’s first comprehensive benchmark for AI driven analytics and data engineering
- [dbt Fusion engine on-demand demo](https://www.getdbt.com/resources/webinars/dbt-fusion-engine-on-demand-demo.md): Discover how the dbt Fusion engine speeds up SQL development with instant validation, smarter runs, and lower warehouse costs.
- [Smarter pipelines, 29%+ warehouse savings: How the dbt Fusion engine drives more cost-effective data ops](https://www.getdbt.com/resources/webinars/how-the-dbt-fusion-engine-optimizes-data-work.md): Learn how how dbt Fusion helps data teams run smarter, deliver faster, and spend less time rebuilding.
- [Speed, simplicity, cost savings: Experience the dbt Fusion engine](https://www.getdbt.com/resources/webinars/speed-simplicity-cost-savings-experience-the-dbt-fusion-engine.md): Learn how to end fragile pipelines, cut cloud compute costs, and simplify workflows for both dbt Core and dbt platform users.
- [Insights from Databricks & dbt Labs data leaders: Scaling reliable analytics in the AI era](https://www.getdbt.com/resources/webinars/insights-from-data-leaders-scaling-reliable-analytics-in-the-ai-era.md): Databricks and dbt Labs share strategies to balance AI hype with reliable, trusted analytics.
- [Talk to your data: AI-powered conversational analytics with the dbt MCP server](https://www.getdbt.com/resources/webinars/ai-powered-conversational-analytics-with-the-dbt-mcp-server.md): Ask a question and get a trusted answer. See how Norlys made AI-powered analytics actually work, governed and fast.
- [dbt on-demand demo: Built for the next era of analytics](https://www.getdbt.com/resources/webinars/dbt-platform-on-demand-demo.md): Learn how dbt helps you build trusted data pipelines, accelerate analytics, and maintain data quality at scale.
- [dbt MCP Server Office Hours — Integrating AI and dbt](https://www.getdbt.com/resources/webinars/dbt-mcp-server-office-hours-integrating-ai-and-dbt.md): Join us for an interactive dbt Community webinar, where we explore the powerful emerging paradigm shaping AI-agentic workflows
- [From Informatica to dbt: A migration path to an AI-ready data control plane](https://www.getdbt.com/resources/webinars/from-informatica-to-dbt-a-migration-path-to-an-ai-ready-data-control-plane.md): Informatica slows you down. dbt delivers faster, cheaper, AI-ready analytics with governed, flexible pipelines.
- [Modeling for success: Building data structures that last](https://www.getdbt.com/resources/webinars/modeling-for-success-building-data-structures-that-last.md): Avoid costly mistakes—join dbt experts to learn data modeling practices that scale with your business.
- [Fast track to dbt workshop](https://www.getdbt.com/resources/webinars/fast-track-to-dbt-workshop.md): Led by a live instructor, this fast-paced workshop is designed for SQL users who want to stop guessing and start building
- [ETL is over: Faster, smarter pipelines with dbt](https://www.getdbt.com/resources/webinars/etl-is-over-faster-smarter-pipelines-with-dbt.md): See how a global travel brand modernized from legacy ETL to cloud native ELT with demos, migration tips, and AI-ready pipelines.
- [From stored procedures to dbt: Your playbook for successful migrations](https://www.getdbt.com/resources/webinars/from-stored-procedures-to-dbt-your-playbook-for-successful-migrations.md): Learn how organizations are reducing maintenance headaches, boosting trust, and accelerating delivery.
- [Build reliable AI agents with the dbt MCP server](https://www.getdbt.com/resources/webinars/build-reliable-ai-agents-with-the-dbt-mcp-server.md): AI agents need context. Learn how the dbt MCP server adds structure and how Indicium cuts migration time by 90%.
- [Partner Quarterly Session - July (APJ)](https://www.getdbt.com/resources/webinars/q2fy26-partner-quarterly-session-apj.md): Please join us for our inaugural APJ Partner Updates Webinar - “dbt Run-down”
- [2025 State of Analytics Engineering](https://www.getdbt.com/resources/webinars/2025-state-of-analytics-engineering-virtual-event.md): Explore evolving data roles, Gen AI impacts, and data quality trends with experts unpacking the 2025 analytics landscape.
- [dbt + BigQuery: What’s new from Google Cloud Next 25](https://www.getdbt.com/resources/webinars/dbt-bigquery-whats-new-from-google-next.md): Learn about the latest from Google Next, what we announced and how you can take your data work to the next level!
- [From cost center to profit driver: how modern teams optimize data costs](https://www.getdbt.com/resources/webinars/from-cost-center-to-profit-driver.md): Learn how data leaders optimize costs—fast, practical strategies inside.
- [The next era of analytics: A discussion with the CTO](https://www.getdbt.com/resources/webinars/ask-the-cto-virtual-event.md): Watch our Chief Technology Officer share how dbt helps teams embrace analytics best practices.
- [dbt Developer Day](https://www.getdbt.com/resources/webinars/dbt-developer-day.md): Learn about the new and coming-soon features that will accelerate data development for practitioners in dbt.
- [2025 dbt Launch Showcase](https://www.getdbt.com/resources/webinars/2025-dbt-cloud-launch-showcase.md): Empowering the next era of analytics. Join us to hear from our leaders about the latest features landing in dbt.
- [Accelerating dbt with SDF](https://www.getdbt.com/resources/webinars/accelerating-dbt-with-sdf.md): SDF Labs joins dbt Labs! Learn how this partnership boosts pipelines, productivity, and analytics.
- [Data leaders panel: Building a mature analytics workflow](https://www.getdbt.com/resources/webinars/data-leaders-panel-building-a-mature-analytics-workflow.md): Data leaders panel on scalable analytical practices featuring special guests from Cox Automotive and Salesforce.
- [One dbt: Data collaboration built on trust with dbt Explorer](https://www.getdbt.com/resources/webinars/one-dbt-data-collaboration-built-on-trust-with-dbt-explorer.md): Join us to learn how dbt Cloud connects practitioners and consumers with high-quality data, eliminating silos and building trust.
- [Scaling embedded analytics: Deliver reliable data with the dbt Semantic Layer](https://www.getdbt.com/resources/webinars/scaling-embedded-analytics-with-dbt-semantic-layer-virtual-event.md): Learn how a unified data strategy can elevate your embedded analytics and provide trusted insights to every stakeholder.
- [One dbt: Accelerate data work with hybrid deployments and cross-platform dbt Mesh](https://www.getdbt.com/resources/webinars/one-dbt-accelerate-data-work-with-cross-platform-dbt-mesh.md): Join us to learn about the new, multi-platform data governance and sharing capability called cross-platform dbt Mesh.
- [One dbt: The control plane for data collaboration at scale](https://www.getdbt.com/resources/webinars/one-dbt-the-control-plane-for-data-collaboration-at-scale-virtual-event.md): Learn how dbt Copilot improves productivity and data quality with auto-generated tests, docs, and semantic models.
- [dbt Run-down: Partner Update Webinar (APJ)](https://www.getdbt.com/resources/webinars/dbt-run-down-partner-update-webinar-apj.md): Join us to hear more about the recent product updates announced at our Coalesce event
- [From complex to simple: Flybuys' move from dbt Core to dbt Cloud](https://www.getdbt.com/resources/webinars/from-complex-to-simple-flybuys-move-from-dbt-core-to-dbt-cloud.md): Watch Milos Zikic, at Flybuys, as he reveals their journey moving from self-managed dbt Core to the power of dbt Cloud.
- [Peak data performance: WHOOP’s move from dbt Core to dbt Cloud](https://www.getdbt.com/resources/webinars/peak-data-performance-whoop-s-move-from-dbt-core-to-dbt-cloud.md): Watch Matt Luizzi, at WHOOP, as he reveals their journey moving from self-managed dbt Core to the power of dbt Cloud.
- [Fireside chat: A Data Team’s University Life](https://www.getdbt.com/resources/webinars/fireside-chat-a-data-teams-university-life.md): Join data experts from RMIT and University of Canterbury for an engaging fireside chat
- [dbt Labs on dbt: Streamlining KPI Dashboards with the dbt Semantic Layer](https://www.getdbt.com/resources/webinars/dbt-labs-on-dbt-streamlining-kpi-dashboards-with-the-dbt-semantic-layer.md): Learn how dbt Labs uses dbt Cloud and the dbt Semantic Layer to automate real-time, accurate KPI dashboards across BI tools.
- [Boost AI Reliability with dbt Cloud](https://www.getdbt.com/resources/webinars/boost-ai-reliability-with-dbt-cloud.md): Learn how dbt Cloud can enhance your AI initiatives with reliable and accurate data, reduce AI hallucinations, accelerate data-driven projects, and lower the barrier to analytics.
- [2024 dbt Cloud Launch Showcase](https://www.getdbt.com/resources/webinars/dbt-cloud-launch-showcase.md): Watch our executive & product leaders reveal the latest dbt Cloud innovations designed to help you deliver Data That Works.
- [2024 State of Analytics Engineering Webinar](https://www.getdbt.com/resources/webinars/2024-state-of-analytics-engineering-webinar.md): Watch experts give their perspectives on industry benchmarks, macro trends,& strategies for building effective data organizations.
- [New in dbt Cloud: A four-part series on maximizing value](https://www.getdbt.com/resources/webinars/new-in-dbt-cloud-a-four-part-series-on-maximizing-value.md): Explore the latest dbt Cloud advancements in our on-demand webinar series. Dive into new features over four sessions to elevate your team's data strategy.
- [Build for scale, agility, and reliability with dbt Cloud, AutomateDV, and Data Vault](https://www.getdbt.com/resources/webinars/build-for-scale-agility-and-reliability-with-dbt-cloud-automatedv-and-data-vault.md): Move away from inconsistent and siloed data models to a unified, scalable architecture that supports agile development and simplifies data complexity.
- [The time is now: Migrating from stored procedures to dbt Cloud](https://www.getdbt.com/resources/webinars/migrating-from-stored-procedures-to-dbt-cloud.md): Switch to dbt Cloud for collaborative, version-controlled data modeling. Learn migration patterns and benefits from our experts.
- [Optimizing costs in your data workflow](https://www.getdbt.com/resources/webinars/optimizing-costs-in-your-data-workflow.md): Hear from experts on AI, self-service, and SaaS consolidation strategies.
- [Less maintenance, More ROI: Why Code42 moved from dbt Core to dbt Cloud](https://www.getdbt.com/resources/webinars/less-maintenance-more-roi.md): Learn how Code42 cut 40+ hours of weekly maintenance and improved dashboard uptime by migrating from dbt Core to dbt.
- [How to get value from the dbt Semantic Layer](https://www.getdbt.com/resources/webinars/how-to-get-value-from-the-dbt-semantic-layer.md): Discover how to leverage the dbt Semantic Layer for consistent data insights and improved analytics in this on-demand webinar.
- [How to get value from dbt Explorer](https://www.getdbt.com/resources/webinars/how-to-get-value-from-dbt-explorer.md): Explore how dbt Explorer enhances data discovery and project navigation in this webinar, ideal for scaling dbt Cloud projects.
- [Business critical data teams: Taming the chaos of data democracy](https://www.getdbt.com/resources/webinars/data-democracy.md): Watch our on-demand webinar to see how dbt Cloud empowers teams to access, understand, and leverage data for better decisions.
- [How to get value from dbt Mesh](https://www.getdbt.com/resources/webinars/how-to-get-value-from-dbt-mesh.md): Dive into dbt Mesh and empower distributed teams. Learn to manage data complexity at scale and accelerate insights.
- [When and how to adopt dbt Cloud](https://www.getdbt.com/resources/webinars/when-and-how-to-adopt-dbt-cloud.md): Explore adopting dbt Cloud with insights from dbt experts. Learn about building a case, monitoring, and solving data quality issues. Ideal for dbt users and data team managers.
- [Why and how to adopt dbt Cloud](https://www.getdbt.com/resources/webinars/why-and-how-to-adopt-dbt-data-documentation.md): Learn about adopting dbt and maintaining documentation. Discover strategies, real case studies, and best practices. Ideal for dbt users, data professionals, managers, and decision-makers.
- [The ROI of dbt Cloud](https://www.getdbt.com/resources/webinars/study-forrester-tei-webinar.md): Discover how dbt Cloud delivers a 194% ROI by improving data trust, collaboration, and self-service analytics.
- [Business critical data teams: Building a demand prediction engine at TIER](https://www.getdbt.com/resources/webinars/tier-mobility.md): Learn from TIER Mobility's data-driven success story. Discover how they utilized dbt Cloud to fuel exponential growth and optimize demand prediction.
- [dbt 101: A real-time look into dbt Cloud](https://www.getdbt.com/resources/webinars/dbt-101-live-june-session.md): Explore dbt Cloud in this 60-minute on-demand webinar with use cases, live demos, and tips for adding dbt to your data stack.
- [Business critical data teams: How data fuels growth at ClickUp](https://www.getdbt.com/resources/webinars/business-critical-data-teams-how-data-fuels-growth-at-clickup.md): Business critical data teams: How data fuels growth at ClickUp
- [Business critical data teams: Becoming indispensable to the CPO at Nasdaq](https://www.getdbt.com/resources/webinars/nasdaq-fireside-chat.md): Learn how Nasdaq approaches self-service data in this on-demand fireside chat with dbt Labs and Nasdaq's Lead Product Manager.
- [2023 State of Analytics Engineering Webinar](https://www.getdbt.com/resources/webinars/state-of-analytics-engineering-webinar.md): The State of Analytics Engineering Webinar
- [How to get value out of everything new in dbt Cloud](https://www.getdbt.com/resources/webinars/how-to-get-value-out-of-everything-new-in-dbt-cloud.md): Unlock dbt Cloud's latest features: explore innovations, assess business impact, gain expert insights in this on-demand session.

## Events

- [dbt Summit HLS Industry Reception](https://www.getdbt.com/events/dbt-summit-healthcare-and-life-sciences-industry-reception.md): Join data leaders and practitioners across Healthcare and Life Sciences for an evening built around real conversation
- [dbt Summit FSI Industry Reception](https://www.getdbt.com/events/dbt-summit-financial-services-industry-reception.md): Join data leaders and practitioners across financial services for an evening built around real conversation
- [dbt Summit Retail Industry Reception](https://www.getdbt.com/events/dbt-summit-retail-and-consumer-industry-reception.md): Join data leaders and practitioners across Retail & Consumer for an evening built around real conversation
- [In-person workshop: Building Faster, Trust and Governed Data with dbt and AWS](https://www.getdbt.com/events/dbt-hands-on-lab-bangkok.md): dbt is coming to Bangkok! Join us in person to learn about dbt and why dbt Fusion is the hottest product!
- [Step into a pair of Tecovas, on us](https://www.getdbt.com/events/tecovas-boot-fitting-in-oklahoma-city.md): A private Tecovas boot fitting, hosted by dbt Labs
- [Accelerating Development with dbt Fusion on Platform](https://www.getdbt.com/events/roadshow/accelerating-development-with-dbt-fusion-on-platform.md): Learn from our incredible Training Team how dbt is evolving with the next-generation engine powered by Fusion.
- [Build AI-Ready Data Pipelines with dbt + Google Cloud](https://www.getdbt.com/events/roadshow/brewing-ai-ready-data-hands-on-workshop-series.md): AI ready data coming to a city near you.
- [Build Production-Ready Data Pipelines with dbt and Snowflake](https://www.getdbt.com/events/roadshow/build-production-ready-data-pipelines-with-dbt-and-snowflake.md): Build AI-ready data pipelines with dbt and Snowflake in Dallas, Atlanta, San Diego, and Boston. Hands-on labs led by experts.
- [dbt World Tour](https://www.getdbt.com/events/roadshow/dbt-world-tour.md): The best of dbt Summit is coming to a city near you!
- [dbt World Tour - Auckland](https://www.getdbt.com/events/roadshow/dbt-world-tour-auckland.md): Your Level Up starts here in Auckland!
- [dbt World Tour - Melbourne](https://www.getdbt.com/events/roadshow/dbt-world-tour-melbourne.md): dbt World Tour is coming to a city near you! Join us, where data practitioners and leaders come together to shape the future of data and AI.
- [dbt World Tour - Sydney](https://www.getdbt.com/events/roadshow/dbt-world-tour-sydney.md): Your Level Up starts here in Sydney!
- [dbt World Tour - 東京](https://www.getdbt.com/events/roadshow/dbt-world-tour-tokyo.md): dbtの最新情報、ロードマップ、ライブデモ、事例紹介
- [Join the dbt Northeast Events Network](https://www.getdbt.com/events/roadshow/join-the-dbt-northeast-events-network.md): Register Today. Subscribe for What's Next.
- [Data for Breakfast - Making AI Real for Business 2026](https://www.getdbt.com/events/summit/data-for-breakfast-making-ai-real-for-business-2026.md): Data for Breakfast - Making AI Real for Business

## dbt Summit

- [dbt Summit in Las Vegas | Accessibility guide](https://www.getdbt.com/dbt-summit/accessibility-guide.md): Get key information on accessibility and inclusion at dbt Summit Las Vegas, including venue information, sensory considerations, restroom availability, and more.
- [Community grant | dbt Summit 2026](https://www.getdbt.com/dbt-summit/community-grant.md): dbt Summit Community Grants make it easier for community members to travel to dbt Summit. Apply for lodging, travel, and a complimentary ticket.
- [Community Grant Terms and Conditions | dbt Summit 2026](https://www.getdbt.com/dbt-summit/community-grant-terms-and-conditions.md): Read the terms and conditions for the dbt Summit 2026 Community Grant program.
- [Experience | dbt Summit 2026](https://www.getdbt.com/dbt-summit/experience.md): There's a lot going on at dbt Summit, and it can be overwhelming. It's our goal that you make the most out of the event and leave feeling inspired, energized, ready to grow your career.
- [dbt Summit in Las Vegas | FAQs](https://www.getdbt.com/dbt-summit/faqs.md): Got questions? We've got answers. Find everything you need to know to plan your Summit experience.
- [dbt Summit in Las Vegas | September 15-18](https://www.getdbt.com/dbt-summit.md): dbt Summit is the world’s largest gathering of dbt community members. Join data leaders, and practitioners to shape the future of data & AI.
- [How to Learn | dbt Summit 2026](https://www.getdbt.com/dbt-summit/how-to-learn.md): dbt Summit is built for practitioners who learn by doing. Get the tools, patterns, and playbooks you can put to work right away.
- [Grow your business with dbt | dbt Summit Partner Day](https://www.getdbt.com/dbt-summit/partner-day.md): Partners will hear from dbt Labs executives and leaders from the partner, product, and sales teams. Learn what’s next for dbt Labs and how you can build your business with dbt.
- [dbt Summit in Las Vegas | Register now](https://www.getdbt.com/dbt-summit/registration.md): dbt Summit is the world’s largest gathering of dbt community members. Join data leaders, and practitioners to shape the future of data & AI.
- [dbt Summit in Las Vegas | Register now](https://www.getdbt.com/dbt-summit/registration/start.md): dbt Summit is the world’s largest gathering of dbt community members. Join data leaders, and practitioners to shape the future of data & AI.
- [Agenda | dbt Summit](https://www.getdbt.com/dbt-summit/sessions.md): Full session schedule for dbt Summit 2026.
- [Speakers | dbt Summit](https://www.getdbt.com/dbt-summit/speakers.md): Meet the speakers at dbt Summit 2026.
- [Sponsors | dbt Summit](https://www.getdbt.com/dbt-summit/sponsors.md): Meet the sponsors of dbt Summit 2026.
- [Terms and Conditions | dbt Summit 2026](https://www.getdbt.com/dbt-summit/terms-and-conditions.md): Read the terms and conditions for dbt Summit 2026, including health and safety guidelines, participation terms, refunds, and transfers.
- [Training and certification | dbt Summit](https://www.getdbt.com/dbt-summit/training-and-certification.md): Level up your skills at dbt Summit with hands-on training and industry-recognized certifications for data engineers, analytics engineers, and platform leaders.
- [{SOLD OUT} Becoming a dbt Architect](https://www.getdbt.com/dbt-summit/sessions/sold-out-becoming-a-dbt-architect.md): dbt Summit session — Training add-on
- [{SOLD OUT} Mastering data quality with dbt](https://www.getdbt.com/dbt-summit/sessions/sold-out-mastering-data-quality-with-dbt.md): dbt Summit session — Training add-on
- [{SOLD OUT} Operationalize cost visibility in dbt](https://www.getdbt.com/dbt-summit/sessions/sold-out-operationalize-cost-visibility-in-dbt.md): dbt Summit session — Training add-on
- [{SOLD OUT} Getting started with dbt](https://www.getdbt.com/dbt-summit/sessions/sold-out-getting-started-with-dbt.md): dbt Summit session — Training add-on
- [{SOLD OUT} Governed & scalable AI-assisted analytics with dbt](https://www.getdbt.com/dbt-summit/sessions/sold-out-governed-and-scalable-ai-assisted-analytics-with-dbt.md): dbt Summit session — Training add-on
- [{SOLD OUT} Certification](https://www.getdbt.com/dbt-summit/sessions/sold-out-certification.md): dbt Summit session — Certification add-on
- [{SOLD OUT} Upgrade to dbt v2](https://www.getdbt.com/dbt-summit/sessions/sold-out-upgrade-to-dbt-v2.md): dbt Summit session — Training add-on
- [Summit Springboard](https://www.getdbt.com/dbt-summit/sessions/summit-springboard.md): dbt Summit session — Breakout session
- [Welcome reception](https://www.getdbt.com/dbt-summit/sessions/welcome-reception.md): dbt Summit session — Networking
- [Everyone's a winner - Welcome Party After Party with Prefect](https://www.getdbt.com/dbt-summit/sessions/everyones-a-winner-welcome-party-after-party-with-prefect.md): dbt Summit session — Networking
- [Fun run and walk with Sigma](https://www.getdbt.com/dbt-summit/sessions/fun-run-and-walk-with-sigma.md): dbt Summit session — Networking
- [Breakfast](https://www.getdbt.com/dbt-summit/sessions/breakfast.md): dbt Summit session — Meals
- [Keynote: Level Up](https://www.getdbt.com/dbt-summit/sessions/keynote-level-up.md): dbt Summit session — Keynote
- [From 72 minutes to 5: how one environment variable powers two dbt pipelines](https://www.getdbt.com/dbt-summit/sessions/from-72-minutes-to-5-how-one-environment-variable-powers-two-dbt-pipelines.md): dbt Summit session — Breakout session, Analytics engineering best practices
- [The Platform Team Said No — dbt won with “Yes” - Story of Governance, Autonomy, and Scale](https://www.getdbt.com/dbt-summit/sessions/the-platform-team-said-no-dbt-won-with-yes-story-of-governance-autonomy-and-scale.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [No drift allowed: LangChain's context playbook with Hex](https://www.getdbt.com/dbt-summit/sessions/no-drift-allowed-langchains-context-playbook-with-hex.md): dbt Summit session — Breakout session, Analytics engineering best practices
- [{SOLD OUT} Certification](https://www.getdbt.com/dbt-summit/sessions/sold-out-certification-57fa3bc5.md): dbt Summit session — Certification add-on
- [YAML doesn't know why: building the business context your agents are missing](https://www.getdbt.com/dbt-summit/sessions/yaml-doesnt-know-why-building-the-business-context-your-agents-are-missing.md): dbt Summit session — Breakout session, Building agentic data workflows
- [The semantic layer is dead. Long live the semantic layer!](https://www.getdbt.com/dbt-summit/sessions/the-semantic-layer-is-dead-long-live-the-semantic-layer.md): dbt Summit session — Breakout session, dbt Product
- [Data for everyone 360: Building empathy and alignment across the data stack](https://www.getdbt.com/dbt-summit/sessions/data-for-everyone-360-building-empathy-and-alignment-across-the-data-stack.md): dbt Summit session — Roundtable
- [Accelerating and optimizing your deployment with dbt v2 and dbt State](https://www.getdbt.com/dbt-summit/sessions/accelerating-and-optimizing-your-deployment-with-dbt-v2-and-dbt-state.md): dbt Summit session — Hands-on lab
- [How to build a successful data career](https://www.getdbt.com/dbt-summit/sessions/how-to-build-a-successful-data-career.md): dbt Summit session — Peer exchange, Analytics engineering best practices
- [Your dbt models deserve better data](https://www.getdbt.com/dbt-summit/sessions/your-dbt-models-deserve-better-data.md): dbt Summit session — Lightning talk, Analytics engineering best practices
- [Lunch](https://www.getdbt.com/dbt-summit/sessions/lunch.md): dbt Summit session — Meals
- [A practitioner's guide to federated dbt Mesh at scale with Data Project Factory](https://www.getdbt.com/dbt-summit/sessions/a-practitioners-guide-to-federated-dbt-mesh-at-scale-with-data-project-factory.md): dbt Summit session — Breakout session, dbt at scale
- [The next wave of data infrastructure is in the Lake](https://www.getdbt.com/dbt-summit/sessions/the-next-wave-of-data-infrastructure-is-in-the-lake.md): dbt Summit session — Breakout session, dbt Product
- [Ship AI Agents Like Tables: dbt Materializations for Snowflake CoWork](https://www.getdbt.com/dbt-summit/sessions/ship-ai-agents-like-tables-dbt-materializations-for-snowflake-cowork.md): dbt Summit session — Breakout session, Building agentic data workflows
- [How to build governed agentic analytics on Amazon Redshift with the dbt Semantic Layer](https://www.getdbt.com/dbt-summit/sessions/how-to-build-governed-agentic-analytics-on-amazon-redshift-with-the-dbt-semantic-layer.md): dbt Summit session — Breakout session
- [Testing, 1, 2, 3: Catching silent data failures beyond dbt tests](https://www.getdbt.com/dbt-summit/sessions/testing-1-2-3-catching-silent-data-failures-beyond-dbt-tests.md): dbt Summit session — Lightning talk, Analytics engineering best practices
- [Dismantling the vault: scaling to a data mesh during a 5x merger](https://www.getdbt.com/dbt-summit/sessions/dismantling-the-vault-scaling-to-a-data-mesh-during-a-5x-merger.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [Empowering stakeholders in the age of AI](https://www.getdbt.com/dbt-summit/sessions/empowering-stakeholders-in-the-age-of-ai.md): dbt Summit session — Peer exchange, AI and agentic analytics
- [dbt+Fabric: analytics engineering at enterprise scale](https://www.getdbt.com/dbt-summit/sessions/dbtfabric-analytics-engineering-at-enterprise-scale.md): dbt Summit session — Lightning talk
- [TBD (talk 'bout data)](https://www.getdbt.com/dbt-summit/sessions/tbd-talk-bout-data.md): dbt Summit session — Breakout session, Building agentic data workflows
- [A nonprofit's journey: we walked so dbt could run](https://www.getdbt.com/dbt-summit/sessions/a-nonprofits-journey-we-walked-so-dbt-could-run.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [Before the agents: what self-serve analytics actually needs](https://www.getdbt.com/dbt-summit/sessions/before-the-agents-what-self-serve-analytics-actually-needs.md): dbt Summit session — Breakout session, Powering AI-ready data
- [Standardizing insights with the dbt Semantic Layer](https://www.getdbt.com/dbt-summit/sessions/standardizing-insights-with-the-dbt-semantic-layer.md): dbt Summit session — Hands-on lab
- [How WHOOP bridges dbt models and Snowflake semantic views](https://www.getdbt.com/dbt-summit/sessions/how-whoop-bridges-dbt-models-and-snowflake-semantic-views.md): dbt Summit session — Breakout session, Powering AI-ready data
- [Your dbt tests passed. Why did the metric still move?](https://www.getdbt.com/dbt-summit/sessions/your-dbt-tests-passed-why-did-the-metric-still-move.md): dbt Summit session — Lightning talk, Building agentic data workflows
- [Open Data Infrastructure in practice: unlock your dbt projects with Apache Iceberg and mesh](https://www.getdbt.com/dbt-summit/sessions/open-data-infrastructure-in-practice-unlock-your-dbt-projects-with-apache-iceberg-and-mesh.md): dbt Summit session — Breakout session, dbt Product
- [{SOLD OUT} Certification](https://www.getdbt.com/dbt-summit/sessions/sold-out-certification-4be63d2d.md): dbt Summit session — Certification add-on
- [How Fanatics manages dbt metrics with Snowflake CoCo for natural language analytics](https://www.getdbt.com/dbt-summit/sessions/how-fanatics-manages-dbt-metrics-with-snowflake-coco-for-natural-language-analytics.md): dbt Summit session — Breakout session, Powering AI-ready data
- [AI-powered data development: How agentic SDLC & dbt-MCP transformed our data engineering workflow](https://www.getdbt.com/dbt-summit/sessions/ai-powered-data-development-how-agentic-sdlc-and-dbt-mcp-transformed-our-data-engineering-workflow.md): dbt Summit session — Breakout session, Building agentic data workflows
- [From dbt Core to Fusion: How CarGurus unlocked dbt State and AI at scale](https://www.getdbt.com/dbt-summit/sessions/from-dbt-core-to-fusion-how-cargurus-unlocked-dbt-state-and-ai-at-scale.md): dbt Summit session — Breakout session, Winning with Fusion
- [Chart clinic: live dashboard teardowns & rebuilds](https://www.getdbt.com/dbt-summit/sessions/chart-clinic-live-dashboard-teardowns-and-rebuilds.md): dbt Summit session — Roundtable, Analytics engineering best practices
- [What AI agents get wrong, and how semantics fixes it](https://www.getdbt.com/dbt-summit/sessions/what-ai-agents-get-wrong-and-how-semantics-fixes-it.md): dbt Summit session — Lightning talk, Building agentic data workflows
- [From AI experiment to production: how Okta governs context for agents at scale](https://www.getdbt.com/dbt-summit/sessions/from-ai-experiment-to-production-how-okta-governs-context-for-agents-at-scale.md): dbt Summit session — Breakout session, Building agentic data workflows
- [Most of your dbt models aren't in a hurry: How to stop paying for the whole DAG](https://www.getdbt.com/dbt-summit/sessions/most-of-your-dbt-models-arent-in-a-hurry-how-to-stop-paying-for-the-whole-dag.md): dbt Summit session — Breakout session, Analytics engineering best practices
- [Real-time analytics at Bilt: architecture and approach](https://www.getdbt.com/dbt-summit/sessions/real-time-analytics-at-bilt-architecture-and-approach.md): dbt Summit session — Breakout session, Delivering business outcomes
- [What changes when 300 dbt users at Virgin Media O2 move to Fusion and dbt State](https://www.getdbt.com/dbt-summit/sessions/what-changes-when-300-dbt-users-at-virgin-media-o2-move-to-fusion-and-dbt-state.md): dbt Summit session — Breakout session, Winning with Fusion
- [dbt Wizard: your AI teammate for data development](https://www.getdbt.com/dbt-summit/sessions/dbt-wizard-your-ai-teammate-for-data-development.md): dbt Summit session — Breakout session, dbt Product
- [Beyond the basics: Running dbt at scale on Microsoft Fabric](https://www.getdbt.com/dbt-summit/sessions/beyond-the-basics-running-dbt-at-scale-on-microsoft-fabric.md): dbt Summit session — Hands-on lab
- [Black in Data: Building connections and community during career growth](https://www.getdbt.com/dbt-summit/sessions/black-in-data-building-connections-and-community-during-career-growth.md): dbt Summit session — Peer exchange, Analytics engineering best practices
- [Product roundtable: The semantic layer is dead. Long live the semantic layer!](https://www.getdbt.com/dbt-summit/sessions/product-roundtable-the-semantic-layer-is-dead-long-live-the-semantic-layer.md): dbt Summit session — Roundtable, dbt Product
- [With great context comes great autonomy: leveling up your agent context](https://www.getdbt.com/dbt-summit/sessions/with-great-context-comes-great-autonomy-leveling-up-your-agent-context.md): dbt Summit session — Breakout session, dbt Product
- [From first models to AI-powered maturity: scaling data engineering with dbt at Verisk Underwriting](https://www.getdbt.com/dbt-summit/sessions/from-first-models-to-ai-powered-maturity-scaling-data-engineering-with-dbt-at-verisk-underwriting.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [From prompt to PR: sandbox-validated dbt changes before human review](https://www.getdbt.com/dbt-summit/sessions/from-prompt-to-pr-sandbox-validated-dbt-changes-before-human-review.md): dbt Summit session — Breakout session, Building agentic data workflows
- [Reliable by design: Lower cost, better delivery, trusted AI](https://www.getdbt.com/dbt-summit/sessions/reliable-by-design-lower-cost-better-delivery-trusted-ai.md): dbt Summit session — Breakout session, Powering AI-ready data
- [From 14-hour batches and poor documentation to AI-ready data: Mitti's dbt rebuild](https://www.getdbt.com/dbt-summit/sessions/from-14-hour-batches-and-poor-documentation-to-ai-ready-data-mittis-dbt-rebuild.md): dbt Summit session — Breakout session, Powering AI-ready data
- [Friends of Data with Hex](https://www.getdbt.com/dbt-summit/sessions/friends-of-data-with-hex.md): dbt Summit session — Networking
- [Financial Services & Insurance industry reception](https://www.getdbt.com/dbt-summit/sessions/financial-services-and-insurance-industry-reception.md): dbt Summit session — Networking
- [Healthcare & life sciences industry reception](https://www.getdbt.com/dbt-summit/sessions/healthcare-and-life-sciences-industry-reception.md): dbt Summit session — Networking
- [Retail & consumer industry reception](https://www.getdbt.com/dbt-summit/sessions/retail-and-consumer-industry-reception.md): dbt Summit session — Networking
- [Data leaders behind the bar: Learn to create cocktails with Analytics8 & ThoughtSpot](https://www.getdbt.com/dbt-summit/sessions/data-leaders-behind-the-bar-learn-to-create-cocktails-with-analytics8-and-thoughtspot.md): dbt Summit session — Networking
- [Queeries Social](https://www.getdbt.com/dbt-summit/sessions/queeries-social.md): dbt Summit session — Networking
- [Sound healing meditation with Euno](https://www.getdbt.com/dbt-summit/sessions/sound-healing-meditation-with-euno.md): dbt Summit session — Networking
- [Breakfast](https://www.getdbt.com/dbt-summit/sessions/breakfast-094b4043.md): dbt Summit session — Meals
- [Keynote: Community Keynote](https://www.getdbt.com/dbt-summit/sessions/keynote-community-keynote.md): dbt Summit session — Keynote
- [Governed by default: how data teams at Nordstrom turn dbt governance into an AI advantage](https://www.getdbt.com/dbt-summit/sessions/governed-by-default-how-data-teams-at-nordstrom-turn-dbt-governance-into-an-ai-advantage.md): dbt Summit session — Breakout session, Powering AI-ready data
- [Picking the best compute engine for any task](https://www.getdbt.com/dbt-summit/sessions/picking-the-best-compute-engine-for-any-task.md): dbt Summit session — Lightning talk, dbt product
- [Revolutionizing the staging layer: how we automated model generation for 700+ sources](https://www.getdbt.com/dbt-summit/sessions/revolutionizing-the-staging-layer-how-we-automated-model-generation-for-700-sources.md): dbt Summit session — Breakout session, dbt at scale
- [We said I do. Now, we’re joined at the DAG](https://www.getdbt.com/dbt-summit/sessions/we-said-i-do-now-were-joined-at-the-dag.md): dbt Summit session — Breakout session, dbt Product
- [How Sigma manages the semantic layer with dbt and Dagster](https://www.getdbt.com/dbt-summit/sessions/how-sigma-manages-the-semantic-layer-with-dbt-and-dagster.md): dbt Summit session — Breakout session, Powering AI-ready data
- [{SOLD OUT} Certification](https://www.getdbt.com/dbt-summit/sessions/sold-out-certification-d8e1242f.md): dbt Summit session — Certification add-on
- [AI in the analyst toolkit: What's actually working (and what isn't)](https://www.getdbt.com/dbt-summit/sessions/ai-in-the-analyst-toolkit-whats-actually-working-and-what-isnt.md): dbt Summit session — Peer exchange, AI and agentic analytics
- [Accelerating analytics with AI](https://www.getdbt.com/dbt-summit/sessions/accelerating-analytics-with-ai.md): dbt Summit session — Hands-on lab
- [Product roundtable: dbt Wizard: your AI teammate for data development](https://www.getdbt.com/dbt-summit/sessions/product-roundtable-dbt-wizard-your-ai-teammate-for-data-development.md): dbt Summit session — Roundtable, dbt Product
- [Chart Slop: Your BI Tool Shipped the Mess](https://www.getdbt.com/dbt-summit/sessions/chart-slop-your-bi-tool-shipped-the-mess.md): dbt Summit session — Lightning talk
- [With great context comes great autonomy: leveling up your agent context](https://www.getdbt.com/dbt-summit/sessions/with-great-context-comes-great-autonomy-leveling-up-your-agent-context-09111662.md): dbt Summit session — Lightning talk, Data careers and data leadership
- [From prototype to production: How DoorDash built a scalable analytics SDLC with dbt and ThoughtSpot](https://www.getdbt.com/dbt-summit/sessions/from-prototype-to-production-how-doordash-built-a-scalable-analytics-sdlc-with-dbt-and-thoughtspot.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [Is context engineering the new analytics engineering?](https://www.getdbt.com/dbt-summit/sessions/is-context-engineering-the-new-analytics-engineering.md): dbt Summit session — Breakout session, Powering AI-ready data
- [dbt-building a more pet friendly world](https://www.getdbt.com/dbt-summit/sessions/dbt-building-a-more-pet-friendly-world.md): dbt Summit session — Breakout session, Delivering business outcomes
- [Lunch](https://www.getdbt.com/dbt-summit/sessions/lunch-98cfceb5.md): dbt Summit session — Meals
- [Optimizing your runs for lower compute, fresher data, and faster iteration with dbt State](https://www.getdbt.com/dbt-summit/sessions/optimizing-your-runs-for-lower-compute-fresher-data-and-faster-iteration-with-dbt-state.md): dbt Summit session — Breakout session, dbt Product
- [From selection to scale: how ING is operationalizing dbt across a global bank](https://www.getdbt.com/dbt-summit/sessions/from-selection-to-scale-how-ing-is-operationalizing-dbt-across-a-global-bank.md): dbt Summit session — Breakout session, dbt at scale
- [Genius.AI: Hex ate our legacy BI stack](https://www.getdbt.com/dbt-summit/sessions/geniusai-hex-ate-our-legacy-bi-stack.md): dbt Summit session — Lightning talk, Powering AI-ready data
- [Live debate: Should you stop using introspection in your models?](https://www.getdbt.com/dbt-summit/sessions/live-debate-should-you-stop-using-introspection-in-your-models.md): dbt Summit session — Lightning talk, Analytics engineering best practices
- [The principals' framework for consistent dbt at scale](https://www.getdbt.com/dbt-summit/sessions/the-principals-framework-for-consistent-dbt-at-scale.md): dbt Summit session — Breakout session, dbt at scale
- [Conversational analytics: building AI-powered analytics people can actually trust](https://www.getdbt.com/dbt-summit/sessions/conversational-analytics-building-ai-powered-analytics-people-can-actually-trust.md): dbt Summit session — Breakout session
- [Agents, MCPs and buzzword fatigue: what AI actually changes for analytics engineers](https://www.getdbt.com/dbt-summit/sessions/agents-mcps-and-buzzword-fatigue-what-ai-actually-changes-for-analytics-engineers.md): dbt Summit session — Peer exchange, AI and agentic analytics
- [Scaling dbt on Amazon Redshift: how KOHO cut transformation runtime 70% without rewriting a single model](https://www.getdbt.com/dbt-summit/sessions/scaling-dbt-on-amazon-redshift-how-koho-cut-transformation-runtime-70percent-without-rewriting-a-single-model.md): dbt Summit session — Breakout session
- [Migrate stored procs with dbt Wizard](https://www.getdbt.com/dbt-summit/sessions/migrate-stored-procs-with-dbt-wizard.md): dbt Summit session — Hands-on lab
- [Ramp's internal AI stack: agents, sandboxes, and an AI-first BI tool](https://www.getdbt.com/dbt-summit/sessions/ramps-internal-ai-stack-agents-sandboxes-and-an-ai-first-bi-tool.md): dbt Summit session — Breakout session, Building agentic data workflows
- [Beyond layers and medallions: An explicit data modeling framework](https://www.getdbt.com/dbt-summit/sessions/beyond-layers-and-medallions-an-explicit-data-modeling-framework.md): dbt Summit session — Breakout session, Analytics engineering best practices
- [Product roundtable: With great context comes great autonomy: leveling up your agent context](https://www.getdbt.com/dbt-summit/sessions/product-roundtable-with-great-context-comes-great-autonomy-leveling-up-your-agent-context.md): dbt Summit session — Roundtable, dbt Product
- [Build, test, evaluate, deploy: Coding plugins for Connector SDK](https://www.getdbt.com/dbt-summit/sessions/build-test-evaluate-deploy-coding-plugins-for-connector-sdk.md): dbt Summit session — Lightning talk, Analytics engineering best practices
- [Dashboards as Code with dbt Charts](https://www.getdbt.com/dbt-summit/sessions/dashboards-as-code-with-dbt-charts.md): dbt Summit session — Lightning talk
- [Warming up to Iceberg: 2026 makes Iceberg easier](https://www.getdbt.com/dbt-summit/sessions/warming-up-to-iceberg-2026-makes-iceberg-easier.md): dbt Summit session — Breakout session, Practitioners at the edge
- [An AlphaSense case study: scaling AI on enterprise data with dbt-first governance and context from Euno](https://www.getdbt.com/dbt-summit/sessions/an-alphasense-case-study-scaling-ai-on-enterprise-data-with-dbt-first-governance-and-context-from-euno.md): dbt Summit session — Breakout session, Powering AI-ready data
- [Rebuilding dbt Core in the open: Faster runtime, adapters, and docs v2](https://www.getdbt.com/dbt-summit/sessions/rebuilding-dbt-core-in-the-open-faster-runtime-adapters-and-docs-v2.md): dbt Summit session — Breakout session, dbt Product
- [One engine to rule them all: why Obie left the shire](https://www.getdbt.com/dbt-summit/sessions/one-engine-to-rule-them-all-why-obie-left-the-shire.md): dbt Summit session — Breakout session, Winning with Fusion
- [From data to AI: why Microsoft Fabric and dbt are better together](https://www.getdbt.com/dbt-summit/sessions/from-data-to-ai-why-microsoft-fabric-and-dbt-are-better-together.md): dbt Summit session — Breakout session
- [AI didn't change our dbt project, just who cared about it.](https://www.getdbt.com/dbt-summit/sessions/ai-didnt-change-our-dbt-project-just-who-cared-about-it.md): dbt Summit session — Lightning talk, Powering AI-ready data
- [Product roundtable: Open Data Infrastructure in practice: unlock your dbt projects with Apache Iceberg and mesh](https://www.getdbt.com/dbt-summit/sessions/product-roundtable-open-data-infrastructure-in-practice-unlock-your-dbt-projects-with-apache-iceberg-and-mesh.md): dbt Summit session — Roundtable, dbt Product
- [{SOLD OUT} Certification](https://www.getdbt.com/dbt-summit/sessions/sold-out-certification-869201e5.md): dbt Summit session — Certification add-on
- [$1B in transactions, 1 minute latency: dbt as production banking infrastructure](https://www.getdbt.com/dbt-summit/sessions/dollar1b-in-transactions-1-minute-latency-dbt-as-production-banking-infrastructure.md): dbt Summit session — Lightning talk, Delivering business outcomes
- [From dashboards to data products: how dbt transforms analytics teams](https://www.getdbt.com/dbt-summit/sessions/from-dashboards-to-data-products-how-dbt-transforms-analytics-teams.md): dbt Summit session — Breakout session, Analytics engineering best practices
- [Getting instant feedback: The Fusion-powered dbt developer experience](https://www.getdbt.com/dbt-summit/sessions/getting-instant-feedback-the-fusion-powered-dbt-developer-experience.md): dbt Summit session — Breakout session, dbt Product
- [From DML soup to dbt structure: Ecolab's migration story](https://www.getdbt.com/dbt-summit/sessions/from-dml-soup-to-dbt-structure-ecolabs-migration-story.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [Beyond semantic models: "Domain context as code" for high-accuracy text-to-SQL](https://www.getdbt.com/dbt-summit/sessions/beyond-semantic-models-domain-context-as-code-for-high-accuracy-text-to-sql.md): dbt Summit session — Breakout session, Powering AI-ready data
- [From cost center to profit center: how Mitratech built a data platform on dbt](https://www.getdbt.com/dbt-summit/sessions/from-cost-center-to-profit-center-how-mitratech-built-a-data-platform-on-dbt.md): dbt Summit session — Breakout session, Delivering business outcomes
- [Creating context with dbt MCP Server](https://www.getdbt.com/dbt-summit/sessions/creating-context-with-dbt-mcp-server.md): dbt Summit session — Hands-on lab
- [The View on Data: Live from dbt Summit](https://www.getdbt.com/dbt-summit/sessions/the-view-on-data-live-from-dbt-summit.md): dbt Summit session — Breakout session
- [Inside the agentic data stack at Bilt](https://www.getdbt.com/dbt-summit/sessions/inside-the-agentic-data-stack-at-bilt.md): dbt Summit session — Lightning talk, Building agentic data workflows
- [How Figma builds a consistent experience with confidence](https://www.getdbt.com/dbt-summit/sessions/how-figma-builds-a-consistent-experience-with-confidence.md): dbt Summit session — Breakout session, dbt at scale
- [Beyond the dashboard: an MCP-connected AI agent that reads your dbt lineage](https://www.getdbt.com/dbt-summit/sessions/beyond-the-dashboard-an-mcp-connected-ai-agent-that-reads-your-dbt-lineage.md): dbt Summit session — Breakout session, Building agentic data workflows
- [AI-augmented analytics engineering at DocuSign: from prompt to production with Fusion, dbt MCP, and agent skills](https://www.getdbt.com/dbt-summit/sessions/ai-augmented-analytics-engineering-at-docusign-from-prompt-to-production-with-fusion-dbt-mcp-and-agent-skills.md): dbt Summit session — Breakout session, Winning with Fusion
- [Fireside Chat: What is Context Engineering and why does it matter for analytics practitioners.](https://www.getdbt.com/dbt-summit/sessions/fireside-chat-what-is-context-engineering-and-why-does-it-matter-for-analytics-practitioners.md): dbt Summit session — Breakout session, Building agentic data workflows
- [dbt Charts: Building a Viz Language that’s Easy on the I’s - AI, BI, CI, and ODI](https://www.getdbt.com/dbt-summit/sessions/dbt-charts-building-a-viz-language-thats-easy-on-the-is-ai-bi-ci-and-odi.md): dbt Summit session — Breakout session
- [In the weeds of dbt State](https://www.getdbt.com/dbt-summit/sessions/in-the-weeds-of-dbt-state.md): dbt Summit session — Lightning talk, AI and agentic anayltics
- [The View on Data: Networking mingle](https://www.getdbt.com/dbt-summit/sessions/the-view-on-data-networking-mingle.md): dbt Summit session — Networking
- [dbt Summit Party](https://www.getdbt.com/dbt-summit/sessions/dbt-summit-party.md): dbt Summit session — Networking
- [Breakfast](https://www.getdbt.com/dbt-summit/sessions/breakfast-f622fff9.md): dbt Summit session — Meals
- [{SOLD OUT} Governed & scalable AI-assisted analytics with dbt](https://www.getdbt.com/dbt-summit/sessions/sold-out-governed-and-scalable-ai-assisted-analytics-with-dbt-8bebec40.md): dbt Summit session — Training add-on
- [{SOLD OUT} Becoming a dbt Architect](https://www.getdbt.com/dbt-summit/sessions/sold-out-becoming-a-dbt-architect-a4aa124e.md): dbt Summit session — Training add-on
- [{SOLD OUT} Certification](https://www.getdbt.com/dbt-summit/sessions/sold-out-certification-cc1e54c7.md): dbt Summit session — Certification add-on
- [Beyond the bottleneck: position your Analytics Engineering team as a strategic force](https://www.getdbt.com/dbt-summit/sessions/beyond-the-bottleneck-position-your-analytics-engineering-team-as-a-strategic-force.md): dbt Summit session — Peer exchange, Delivering business outcomes
- [Product roundtable: Rebuilding dbt Core: Faster runtime, adapters, and docs v2](https://www.getdbt.com/dbt-summit/sessions/product-roundtable-rebuilding-dbt-core-faster-runtime-adapters-and-docs-v2.md): dbt Summit session — Roundtable, dbt Product
- [We have been overthinking context engineering](https://www.getdbt.com/dbt-summit/sessions/we-have-been-overthinking-context-engineering.md): dbt Summit session — Lightning talk, Powering AI-ready data
- [Open Data Infrastructure in practice: unlock your dbt projects with Apache Iceberg and mesh](https://www.getdbt.com/dbt-summit/sessions/open-data-infrastructure-in-practice-unlock-your-dbt-projects-with-apache-iceberg-and-mesh-7d7b5efe.md): dbt Summit session — Breakout session, dbt Product
- [Scaling trusted self-service for dbt stakeholders](https://www.getdbt.com/dbt-summit/sessions/scaling-trusted-self-service-for-dbt-stakeholders.md): dbt Summit session — Hands-on lab
- [ClickHouse + dbt: Building a GitOps workflow at Twilio](https://www.getdbt.com/dbt-summit/sessions/clickhouse-dbt-building-a-gitops-workflow-at-twilio.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [dbt without the warehouse (or the bill): DuckDB end to end](https://www.getdbt.com/dbt-summit/sessions/dbt-without-the-warehouse-or-the-bill-duckdb-end-to-end.md): dbt Summit session — Breakout session, Analytics engineering best practices
- [When skills meet scale: an agent assembly line for dbt](https://www.getdbt.com/dbt-summit/sessions/when-skills-meet-scale-an-agent-assembly-line-for-dbt.md): dbt Summit session — Breakout session, Winning with Fusion
- [Glorious Charts](https://www.getdbt.com/dbt-summit/sessions/glorious-charts.md): dbt Summit session — Lightning talk
- [Build, test, evaluate, deploy: Coding plugins for Connector SDK](https://www.getdbt.com/dbt-summit/sessions/build-test-evaluate-deploy-coding-plugins-for-connector-sdk-6b381805.md): dbt Summit session — Lightning talk, AI and agentic anayltics
- [Data + AI agent hackathon](https://www.getdbt.com/dbt-summit/sessions/data-ai-agent-hackathon.md): dbt Summit session — Hackathon
- [ADBC in production: zero-copy, non-zero problems](https://www.getdbt.com/dbt-summit/sessions/adbc-in-production-zero-copy-non-zero-problems.md): dbt Summit session — Breakout session, Data modernization & emerging architectures
- [dbt for public health: sightline wastewater monitoring at scale](https://www.getdbt.com/dbt-summit/sessions/dbt-for-public-health-sightline-wastewater-monitoring-at-scale.md): dbt Summit session — Breakout session, Delivering business outcomes
- [Does your data pipeline deserve to exist? How EF Education built a cost and value layer with dbt and Cortex Agent](https://www.getdbt.com/dbt-summit/sessions/does-your-data-pipeline-deserve-to-exist-how-ef-education-built-a-cost-and-value-layer-with-dbt-and-cortex-agent.md): dbt Summit session — Breakout session, Delivering business outcomes
- [More than a data-delivery service: becoming a trusted advisor to your stakeholders](https://www.getdbt.com/dbt-summit/sessions/more-than-a-data-delivery-service-becoming-a-trusted-advisor-to-your-stakeholders.md): dbt Summit session — Lightning talk, Data careers and data leadership
- [{SOLD OUT} Mastering data quality with dbt](https://www.getdbt.com/dbt-summit/sessions/sold-out-mastering-data-quality-with-dbt-957f01ac.md): dbt Summit session — Training add-on
- [Product roundtable: Optimizing your runs for lower compute, fresher data, and faster iteration with dbt State](https://www.getdbt.com/dbt-summit/sessions/product-roundtable-optimizing-your-runs-for-lower-compute-fresher-data-and-faster-iteration-with-dbt-state.md): dbt Summit session — Roundtable, dbt Product
- [Building dbt projects in rough terrain: creating a trailguide for dbt pioneers](https://www.getdbt.com/dbt-summit/sessions/building-dbt-projects-in-rough-terrain-creating-a-trailguide-for-dbt-pioneers.md): dbt Summit session — Peer exchange, Data careers and data leadership
- [Teaching dbt Wizard to write code like your team](https://www.getdbt.com/dbt-summit/sessions/teaching-dbt-wizard-to-write-code-like-your-team.md): dbt Summit session — Lightning talk, AI and agentic anayltics
- [Lunch](https://www.getdbt.com/dbt-summit/sessions/lunch-f9601ddb.md): dbt Summit session — Meals
- [The semantic layer is dead. Long live the semantic layer!](https://www.getdbt.com/dbt-summit/sessions/the-semantic-layer-is-dead-long-live-the-semantic-layer-33566a33.md): dbt Summit session — Breakout session, dbt Product
- [Don't ship what you can't measure: Evaluation-driven development for AI analytics agents](https://www.getdbt.com/dbt-summit/sessions/dont-ship-what-you-cant-measure-evaluation-driven-development-for-ai-analytics-agents.md): dbt Summit session — Breakout session, Powering AI-ready data
- [What BI still gets wrong about Charts: decades of defaults nobody actually chose](https://www.getdbt.com/dbt-summit/sessions/what-bi-still-gets-wrong-about-charts-decades-of-defaults-nobody-actually-chose.md): dbt Summit session — Breakout session
- [A dbt "logic mesh" with packages: standard model and metrics across 25 autonomous organizations](https://www.getdbt.com/dbt-summit/sessions/a-dbt-logic-mesh-with-packages-standard-model-and-metrics-across-25-autonomous-organizations.md): dbt Summit session — Breakout session, dbt at scale
- [Shrink the surface: governed self-service for analyst-owned dbt pipelines](https://www.getdbt.com/dbt-summit/sessions/shrink-the-surface-governed-self-service-for-analyst-owned-dbt-pipelines.md): dbt Summit session — Breakout session, Delivering business outcomes
- [Meta:Context: a business context schema in dbt's semantic layer](https://www.getdbt.com/dbt-summit/sessions/metacontext-a-business-context-schema-in-dbts-semantic-layer.md): dbt Summit session — Breakout session, Powering AI-ready data
- [Kensly Alexander](https://www.getdbt.com/dbt-summit/speakers/kensly-alexander.md): Director Data Stewardship & Architecture, Planned Parenthood Federation of America
- [Anikei Allen](https://www.getdbt.com/dbt-summit/speakers/anikei-allen.md): Senior Community Manager, dbt Labs
- [Nina Anderson](https://www.getdbt.com/dbt-summit/speakers/nina-anderson.md): Senior Manager, Partner Solutions Architecture, dbt Labs
- [RJ Andrews](https://www.getdbt.com/dbt-summit/speakers/rj-andrews.md): Data Scientist VII, Fivetran
- [Thomas Antonakis](https://www.getdbt.com/dbt-summit/speakers/thomas-antonakis.md): Principal Analytics Engineer, Kaizen Gaming
- [Venkatesh Aravamudan](https://www.getdbt.com/dbt-summit/speakers/venkatesh-aravamudan.md): Senior Partner Solutions Architect, Amazon
- [Thiago Baldim](https://www.getdbt.com/dbt-summit/speakers/thiago-baldim.md): Director of Engineering, Data, Mitti
- [Ryan Ballman](https://www.getdbt.com/dbt-summit/speakers/ryan-ballman.md): Senior Lead, Data Platform Engineer, Under Armour
- [Drew Barlage](https://www.getdbt.com/dbt-summit/speakers/drew-barlage.md): Analytics Engineer, Genius.AI
- [Stanley Bathina](https://www.getdbt.com/dbt-summit/speakers/stanley-bathina.md): Sr Data Platform Engineer, Under Armour
- [Paige Berry](https://www.getdbt.com/dbt-summit/speakers/paige-berry.md): Lead Data Analyst, dbt Labs
- [Keith Binkly](https://www.getdbt.com/dbt-summit/speakers/keith-binkly.md): Director of Data Analytics, Green Dot Corporation
- [Marat Biyashev](https://www.getdbt.com/dbt-summit/speakers/marat-biyashev.md): Senior Analytics Engineer, Bilt
- [Jarno Boeijink](https://www.getdbt.com/dbt-summit/speakers/jarno-boeijink.md): IT Area Lead Global Data Processing, ING Bank N.V.
- [Alexander Bogdanowicz](https://www.getdbt.com/dbt-summit/speakers/alexander-bogdanowicz.md): Senior Manager, Software Engineering, dbt Labs
- [Célia Bru](https://www.getdbt.com/dbt-summit/speakers/celia-bru.md): Senior Director Data & Analytics, Koho Financial
- [Nadine Bruxel](https://www.getdbt.com/dbt-summit/speakers/nadine-bruxel.md): Senior Director, Nordstrom
- [Russell Christopher](https://www.getdbt.com/dbt-summit/speakers/russell-christopher.md): Sr. Director, Product Management, dbt Labs
- [Emanuela Ciotti](https://www.getdbt.com/dbt-summit/speakers/emanuela-ciotti.md): Head of Enterprise Analytics, Compare the Market
- [Logan Cochran](https://www.getdbt.com/dbt-summit/speakers/logan-cochran.md): Analytics Engineer, LangChain
- [Jeremy Cohen](https://www.getdbt.com/dbt-summit/speakers/jeremy-cohen.md): Principal Product Manager, dbt Labs
- [Pooja Crahen](https://www.getdbt.com/dbt-summit/speakers/pooja-crahen.md): Senior Manager, Analytics Engineering, Okta
- [Gordon Curzon](https://www.getdbt.com/dbt-summit/speakers/gordon-curzon.md): Head Of Analytics Engineering, Virgin Media O2
- [Joe Dabrowski](https://www.getdbt.com/dbt-summit/speakers/joe-dabrowski.md): Vice President, Productivity, dbt Labs
- [Mars Dauer](https://www.getdbt.com/dbt-summit/speakers/mars-dauer.md): Enterprise Data and AI Leader
- [Elias DeFaria](https://www.getdbt.com/dbt-summit/speakers/elias-defaria.md): Director, Product Management, dbt Labs
- [Matteo Dijoux](https://www.getdbt.com/dbt-summit/speakers/matteo-dijoux.md): Customer Solutions Architect, dbt Labs
- [Tyson Doberneck](https://www.getdbt.com/dbt-summit/speakers/tyson-doberneck.md): Senior Data Engineer, Obie Insurance
- [Mike Doll](https://www.getdbt.com/dbt-summit/speakers/mike-doll.md): VP of Data, Guitar Center
- [James Dorado](https://www.getdbt.com/dbt-summit/speakers/james-dorado.md): VP of Data, Bilt
- [David Drummond](https://www.getdbt.com/dbt-summit/speakers/david-drummond.md): Data Engineer, Technical Lead, Verily Health
- [Ryan Eakman](https://www.getdbt.com/dbt-summit/speakers/ryan-eakman.md): Senior Staff Software Engineer, Fivetran
- [David Elliott](https://www.getdbt.com/dbt-summit/speakers/david-elliott.md): Senior Technical Instructor, dbt Labs
- [Opeyemi Fabiyi](https://www.getdbt.com/dbt-summit/speakers/opeyemi-fabiyi.md): Director, Analytics Engineering, Data Culture
- [Elisha Feliciano](https://www.getdbt.com/dbt-summit/speakers/elisha-feliciano.md): Strategic Events Manager, dbt Labs
- [Sam Ferguson](https://www.getdbt.com/dbt-summit/speakers/sam-ferguson.md): Staff Product Designer, dbt Labs
- [Nick Fernandez](https://www.getdbt.com/dbt-summit/speakers/nick-fernandez.md): Manager of Data Analytics, PetScreening
- [Chiel Fernhout](https://www.getdbt.com/dbt-summit/speakers/chiel-fernhout.md): Migration Delivery Engineering Lead, Datafold
- [Sarah Fischbach](https://www.getdbt.com/dbt-summit/speakers/sarah-fischbach.md): Staff Analytics Engineer, Checkr
- [Dave Fowler](https://www.getdbt.com/dbt-summit/speakers/dave-fowler.md): General Manager, Dataface, Fivetran
- [George Fraser](https://www.getdbt.com/dbt-summit/speakers/george-fraser.md): CEO & Co-founder, Fivetran + dbt Labs
- [Lexi Galantino](https://www.getdbt.com/dbt-summit/speakers/lexi-galantino.md): Analytics Engineering Lead, Zipline
- [Gabriel Gambacorta](https://www.getdbt.com/dbt-summit/speakers/gabriel-gambacorta.md): Product Manager, AI/ML Engineering, KOHO Financial
- [Jason Ganz](https://www.getdbt.com/dbt-summit/speakers/jason-ganz.md): Director, Developer Experience, Community and AI, dbt Labs
- [Sara Gawlinski](https://www.getdbt.com/dbt-summit/speakers/sara-gawlinski.md): Technical Product Marketing Manager, dbt Labs
- [Mateusz Geca](https://www.getdbt.com/dbt-summit/speakers/mateusz-geca.md): Data Engineer, Verisk
- [Grace Goheen](https://www.getdbt.com/dbt-summit/speakers/grace-goheen.md): Product Manager, dbt Labs
- [Daniel Gonzalez](https://www.getdbt.com/dbt-summit/speakers/daniel-gonzalez.md): Analytics Engineer Tech Lead, Sweetwater Sound
- [William Guicheney](https://www.getdbt.com/dbt-summit/speakers/william-guicheney.md): Principal Analytics Engineer, Aimpoint Digital
- [Abhra Gupta](https://www.getdbt.com/dbt-summit/speakers/abhra-gupta.md): Lead Analytics Engineer, Mitratech
- [Bishal Gupta](https://www.getdbt.com/dbt-summit/speakers/bishal-gupta.md): Lead Data Engineer, Docusign
- [Eric Guroff](https://www.getdbt.com/dbt-summit/speakers/eric-guroff.md): CEO/Founder, Ratio PBC
- [Raza Hafeez](https://www.getdbt.com/dbt-summit/speakers/raza-hafeez.md): Senior Product Manager, Amazon
- [Tristan Handy](https://www.getdbt.com/dbt-summit/speakers/tristan-handy.md): President & Co-founder, Fivetran + dbt Labs
- [Roy Hasson](https://www.getdbt.com/dbt-summit/speakers/roy-hasson.md): Senior Director of Product Management, Microsoft
- [Emily Hawkins](https://www.getdbt.com/dbt-summit/speakers/emily-hawkins.md): Analytics Engineering Manager, LangChain
- [Nick Heron](https://www.getdbt.com/dbt-summit/speakers/nick-heron.md): Director, Data Analytics, Bilt
- [Pedro Heyerdahl](https://www.getdbt.com/dbt-summit/speakers/pedro-heyerdahl.md): Head of Data & Analytics, Kilo Code
- [Cathy Huang](https://www.getdbt.com/dbt-summit/speakers/cathy-huang.md): Senior BI Engineer, Webstaurantstore
- [Suhas Jangoan](https://www.getdbt.com/dbt-summit/speakers/suhas-jangoan.md): Senior Data Engineer, Zendesk
- [Jenna Jordan](https://www.getdbt.com/dbt-summit/speakers/jenna-jordan.md): Senior Analytics Engineer, Ratio PBC
- [Tomasz Kaczmarek](https://www.getdbt.com/dbt-summit/speakers/tomasz-kaczmarek.md): Lead IT Developer, Ecolab
- [Ariel Kaplan](https://www.getdbt.com/dbt-summit/speakers/ariel-kaplan.md): Data Architect, Planned Parenthood
- [Matt Karan](https://www.getdbt.com/dbt-summit/speakers/matt-karan.md): Senior Data Engineer, Obie Insurance
- [Casey Karst](https://www.getdbt.com/dbt-summit/speakers/casey-karst.md): Principal Product Manager, Fivetran
- [Jerrie Kenney](https://www.getdbt.com/dbt-summit/speakers/jerrie-kenney.md): Manager, Professional Services, dbt Labs
- [Kevin Kim](https://www.getdbt.com/dbt-summit/speakers/kevin-kim.md): Staff Product Manager, Fivetran
- [Madison Kohls](https://www.getdbt.com/dbt-summit/speakers/madison-kohls.md): Data Scientist, Figma
- [Pavan Kotikalapudi](https://www.getdbt.com/dbt-summit/speakers/pavan-kotikalapudi.md): Staff Software Engineer, Twilio Inc.
- [Ben Kramer](https://www.getdbt.com/dbt-summit/speakers/ben-kramer.md): Senior Director, Data & Analytics, Bilt
- [Rakesh Krishnan](https://www.getdbt.com/dbt-summit/speakers/rakesh-krishnan.md): Principal PM Lead, Microsoft Fabric, Microsoft
- [Neela Kulkarni](https://www.getdbt.com/dbt-summit/speakers/neela-kulkarni.md): AWS Solutions Architect, Amazon
- [Christine Kwon](https://www.getdbt.com/dbt-summit/speakers/christine-kwon.md): Senior Director, Data, Fanatics Betting & Gaming
- [Joel Labes](https://www.getdbt.com/dbt-summit/speakers/joel-labes.md): Staff DX Advocate, dbt Labs
- [Raini Laughlin](https://www.getdbt.com/dbt-summit/speakers/raini-laughlin.md): Technical Instructor, dbt Labs
- [Adrien Ledoux](https://www.getdbt.com/dbt-summit/speakers/adrien-ledoux.md): Director, Data & Analytics Platform, EF
- [Anna Lee](https://www.getdbt.com/dbt-summit/speakers/anna-lee.md): Software Engineer, dbt Labs
- [Minjae Lee](https://www.getdbt.com/dbt-summit/speakers/minjae-lee.md): Customer Solutions Architect, dbt Labs
- [Timothy Leonard](https://www.getdbt.com/dbt-summit/speakers/timothy-leonard.md): Senior Insights Manager, Spotify
- [Ben Lerner](https://www.getdbt.com/dbt-summit/speakers/ben-lerner.md): CEO, Espresso AI
- [Brad Levy](https://www.getdbt.com/dbt-summit/speakers/brad-levy.md): Director of Analytics, AlphaSense
- [Sarah Levy](https://www.getdbt.com/dbt-summit/speakers/sarah-levy.md): Co-Founder & CEO, Euno
- [XiaoHan Li](https://www.getdbt.com/dbt-summit/speakers/xiaohan-li.md): Analytics Engineer & Consultant, Xebia
- [Bruno Lima](https://www.getdbt.com/dbt-summit/speakers/bruno-lima.md): Lead Data Engineer, phData
- [Cheril Lin Abeel](https://www.getdbt.com/dbt-summit/speakers/cheril-lin-abeel.md): Lead Solution Architect, Enterprise, Fivetran
- [Erica Louie](https://www.getdbt.com/dbt-summit/speakers/erica-louie.md): Sr. Manager, Data Analytics & BI, dbt Labs
- [Jack Lowery](https://www.getdbt.com/dbt-summit/speakers/jack-lowery.md): Lead Sales Engineer Specialist- Data Lakes and Transformations, Fivetran
- [Quigley Malcolm](https://www.getdbt.com/dbt-summit/speakers/quigley-malcolm.md): Senior Software Engineer, dbt Labs
- [Zach Mandell](https://www.getdbt.com/dbt-summit/speakers/zach-mandell.md): Staff Product Manager, dbt Labs
- [Aaron Mardis](https://www.getdbt.com/dbt-summit/speakers/aaron-mardis.md): Customer Solutions Engineer, dbt Labs
- [Silja Märdla](https://www.getdbt.com/dbt-summit/speakers/silja-mardla.md): Head of Analytics Engineering, Bolt
- [Jairus Martinez](https://www.getdbt.com/dbt-summit/speakers/jairus-martinez.md): Resident Architect, dbt Labs
- [Sam Masling](https://www.getdbt.com/dbt-summit/speakers/sam-masling.md): AI Lead, Bilt
- [Kasey Mazza](https://www.getdbt.com/dbt-summit/speakers/kasey-mazza.md): Director, Data Science, HubSpot
- [Reuben McCreanor](https://www.getdbt.com/dbt-summit/speakers/reuben-mccreanor.md): Product Manager, dbt Labs
- [Faith McKenna](https://www.getdbt.com/dbt-summit/speakers/faith-mckenna.md): Manger, Technical Instruction, dbt Labs
- [Chris Merrick](https://www.getdbt.com/dbt-summit/speakers/chris-merrick.md): CTO, Omni
- [Monica Miller](https://www.getdbt.com/dbt-summit/speakers/monica-miller.md): Senior Product Manager, Starburst
- [Jordan Morgan](https://www.getdbt.com/dbt-summit/speakers/jordan-morgan.md): Principal Data Analytics Engineer, CarGurus
- [Junya Morita](https://www.getdbt.com/dbt-summit/speakers/junya-morita.md): Group Manager, Tech Lead, Recruit Co.,ltd.
- [Ben Moser](https://www.getdbt.com/dbt-summit/speakers/ben-moser.md): Senior Product Manager, dbt Labs
- [Hannes Mühleisen](https://www.getdbt.com/dbt-summit/speakers/hannes-muhleisen.md): Co-Founder and CEO, DuckLabs
- [Abhishek Narain](https://www.getdbt.com/dbt-summit/speakers/abhishek-narain.md): Principal PM Manager, Microsoft
- [Bao Nguyen](https://www.getdbt.com/dbt-summit/speakers/bao-nguyen.md): Senior Analytics Engineer, Adobe
- [Steven Nguyen](https://www.getdbt.com/dbt-summit/speakers/steven-nguyen.md): Customer Solutions Architect, dbt Labs
- [Stefanos Nikolaou](https://www.getdbt.com/dbt-summit/speakers/stefanos-nikolaou.md): Principal Analytics Engineer, Kaizen Gaming
- [Alex Noonan](https://www.getdbt.com/dbt-summit/speakers/alex-noonan.md): Senior Developer Experience Advocate, dbt Labs
- [Carol Ohms](https://www.getdbt.com/dbt-summit/speakers/carol-ohms.md): Senior Resident Architect, dbt Labs
- [Bolaji Oyejide](https://www.getdbt.com/dbt-summit/speakers/bolaji-oyejide.md): Senior Community Manager, dbt Labs
- [Mani Pachineelam](https://www.getdbt.com/dbt-summit/speakers/mani-pachineelam.md): Principal Resident Architect, dbt Labs
- [Manikandan Paramasivan](https://www.getdbt.com/dbt-summit/speakers/manikandan-paramasivan.md): Principal Architect for Data, ML & AI, KOHO Financial
- [Niyazulla Khan Pathan](https://www.getdbt.com/dbt-summit/speakers/niyazulla-khan-pathan.md): Data Platform Engineering Manager, Careem
- [Paul Pedrozo](https://www.getdbt.com/dbt-summit/speakers/paul-pedrozo.md): Data Analytics Engineer, Westchester Medical Center
- [Brett Pendleton](https://www.getdbt.com/dbt-summit/speakers/brett-pendleton.md): Analytics Engineering Manager, Fanatics
- [Benoit Perigaud](https://www.getdbt.com/dbt-summit/speakers/benoit-perigaud.md): Staff DX Advocate, dbt Labs
- [Madhura Pharande](https://www.getdbt.com/dbt-summit/speakers/madhura-pharande.md): Analytics Engineer, WHOOP
- [Roxi Pourzand](https://www.getdbt.com/dbt-summit/speakers/roxi-pourzand.md): Product manager, dbt Labs
- [Tyler Pugliese](https://www.getdbt.com/dbt-summit/speakers/tyler-pugliese.md): Senior Solutions Architect, dbt Labs
- [Ayan Putatunda](https://www.getdbt.com/dbt-summit/speakers/ayan-putatunda.md): Staff Data Engineer, Zendesk
- [Harsha Reddy](https://www.getdbt.com/dbt-summit/speakers/harsha-reddy.md): Senior Engineering Leader, DoorDash
- [Sonny Rivera](https://www.getdbt.com/dbt-summit/speakers/sonny-rivera.md): Principal Data and AI Strategist, ThoughtSpot
- [Maksim Romanchuk](https://www.getdbt.com/dbt-summit/speakers/maksim-romanchuk.md): Data Analytics Engineer, WMCHealth
- [Tyler Rouze](https://www.getdbt.com/dbt-summit/speakers/tyler-rouze.md): Senior Resident Architect, dbt Labs
- [Divyakumar Savla](https://www.getdbt.com/dbt-summit/speakers/divyakumar-savla.md): Research Data Analyst, Datadog
- [Sophia Scaglioni Melegari](https://www.getdbt.com/dbt-summit/speakers/sophia-scaglioni-melegari.md): Senior Data Analyst, WHOOP
- [Casey Schwegel](https://www.getdbt.com/dbt-summit/speakers/casey-schwegel.md): Lead Data Engineer, Verisk
- [Matt Senick](https://www.getdbt.com/dbt-summit/speakers/matt-senick.md): Senior Analytics Engineer, Sigma Computing
- [M. Waqas Shahid](https://www.getdbt.com/dbt-summit/speakers/m-waqas-shahid.md): Principal Data Platform Engineer, Delivery Hero
- [Lucas Silbernagel](https://www.getdbt.com/dbt-summit/speakers/lucas-silbernagel.md): Resident Architect, dbt Labs
- [Melissa Simpson](https://www.getdbt.com/dbt-summit/speakers/melissa-simpson.md): Lead Analytics Engineer, Virgin Media O2
- [Vijay Singh](https://www.getdbt.com/dbt-summit/speakers/vijay-singh.md): Lead, Data Science and Business Intelligence, Verisk
- [Jeff Skoldberg](https://www.getdbt.com/dbt-summit/speakers/jeff-skoldberg.md): Founding Consultant, Green Mountain Data Solutions
- [Jay Sobel](https://www.getdbt.com/dbt-summit/speakers/jay-sobel.md): Data Platform Engineer, Ramp
- [Russell Spitzer](https://www.getdbt.com/dbt-summit/speakers/russell-spitzer.md): Principal Software Engineer, Snowflake
- [Pradeep Srikakolapu](https://www.getdbt.com/dbt-summit/speakers/pradeep-srikakolapu.md): Senior Product Manager, Microsoft
- [Akash Srivastava](https://www.getdbt.com/dbt-summit/speakers/akash-srivastava.md): Lead Software Engineer, Careem
- [Britton Stamper](https://www.getdbt.com/dbt-summit/speakers/britton-stamper.md): Field AI Enablement Director, dbt Labs
- [Benn Stancil](https://www.getdbt.com/dbt-summit/speakers/benn-stancil.md): Cofounder and Chief Analytics Officer, Mode
- [Jessica Stayton](https://www.getdbt.com/dbt-summit/speakers/jessica-stayton.md): Resident Architect, dbt Labs
- [Millie Symns](https://www.getdbt.com/dbt-summit/speakers/millie-symns.md): Senior Business Intelligence Analyst, Justworks
- [Yuna (Yunnan) Tang](https://www.getdbt.com/dbt-summit/speakers/yuna-yunnan-tang.md): Senior Analytics Engineer, Data, Mitti
- [Priya Tanwar](https://www.getdbt.com/dbt-summit/speakers/priya-tanwar.md): Principal Engineer, Nordstrom
- [Stephen Thibeault](https://www.getdbt.com/dbt-summit/speakers/stephen-thibeault.md): Senior Resident Architect, dbt Labs
- [Shania Thomas](https://www.getdbt.com/dbt-summit/speakers/shania-thomas.md): Senior Technical Instructor, dbt Labs
- [Jordan Tigani](https://www.getdbt.com/dbt-summit/speakers/jordan-tigani.md): CEO, MotherDuck
- [Matt Topol](https://www.getdbt.com/dbt-summit/speakers/matt-topol.md): Co-founder, Columnar
- [Trang Trinh](https://www.getdbt.com/dbt-summit/speakers/trang-trinh.md): Senior Data Engineer, Kramp
- [Akash Trivedi](https://www.getdbt.com/dbt-summit/speakers/akash-trivedi.md): Lead Technical Instructor, dbt Labs
- [William Tsu](https://www.getdbt.com/dbt-summit/speakers/william-tsu.md): Staff Analytics Engineer, Whoop
- [Kyle Tuft](https://www.getdbt.com/dbt-summit/speakers/kyle-tuft.md): Resident Architect, dbt Labs
- [Kirk Van Arkel](https://www.getdbt.com/dbt-summit/speakers/kirk-van-arkel.md): Lead Solution Architect, Enterprise, Fivetran
- [Koen Verburg](https://www.getdbt.com/dbt-summit/speakers/koen-verburg.md): Lead Analytics Engineer, Greenpeace International
- [Niraj Vora](https://www.getdbt.com/dbt-summit/speakers/niraj-vora.md): Principal Sales Engineer, Enterprise, Fivetran
- [Hope Watson](https://www.getdbt.com/dbt-summit/speakers/hope-watson.md): Product Manager, dbt Labs
- [Will Weld](https://www.getdbt.com/dbt-summit/speakers/will-weld.md): Senior Resident Architect, dbt Labs
- [Jinze Xin](https://www.getdbt.com/dbt-summit/speakers/jinze-xin.md): Analytics Engineer, Liftoff
- [Zhen Xing](https://www.getdbt.com/dbt-summit/speakers/zhen-xing.md): Data Architect / Data Engineer, 74software
- [Ana Zapata](https://www.getdbt.com/dbt-summit/speakers/ana-zapata.md): Senior Sales Engineer, Enterprise, Fivetran
- [Iaroslav Zeigerman](https://www.getdbt.com/dbt-summit/speakers/iaroslav-zeigerman.md): Principal Software Engineer, Fivetran
- [Akis Zervas](https://www.getdbt.com/dbt-summit/speakers/akis-zervas.md): Senior Analytics Engineer, Kaizen Gaming
- [Jessica Zhang](https://www.getdbt.com/dbt-summit/speakers/jessica-zhang.md): Senior Data Engineer, Riot Games
- [Scott Ziolko](https://www.getdbt.com/dbt-summit/speakers/scott-ziolko.md): Head of Data, Keep

## Regional

- [Was gibt es Neues bei dbt + Fivetran (Germany)](https://www.getdbt.com/de/resources/webinars/dbt-neues-de.md): Wir haben im Juni die Fusion von Fivetran + dbt Labs bekannt gegeben – und vier bahnbrechende Neuerungen vorgestellt.
- [dbt Labs 日本 (Japan)](https://www.getdbt.com/jp.md): dbt Labs は、ガバナンスの行き届いたデータパイプラインでデータ品質を向上。分析と AI 活用を加速し、運用の効率化とクラウドコストの最適化を同時に実現します。
- [Blog Index Page (Japan)](https://www.getdbt.com/jp/blog.md): dbt Labs ディスクリプション：アナリティクスエンジニアリングの最新トレンド、dbtの活用事例、業界インサイトをお届けします。
- [株式会社テレシー dbt 導入事例：AIとdbt platformで実現する 「AI-readyなデータ基盤」 (Japan)](https://www.getdbt.com/jp/blog/case-study-telecy.md)
- [【対面式】 dbt platform ハンズオンワークショップ (Japan)](https://www.getdbt.com/jp/events/dbt-how-tokyo-0909-2026.md): ～ソフトウェアエンジニアリングをデータプロダクト開発へ。Fusion、dbt State、dbt Wizardで実現する次世代データ開発～
- [dbtプロダクトアップデート2026 (Japan)](https://www.getdbt.com/jp/resources/webinars/dbt-product-update-2026.md): dbtプロダクトアップデート2026ウェビナー。dbt Core v2.0、Fusion、dbt State、dbt Wizard について、日本語でわかりやすく解説します

## Optional

- [Understanding data compression](https://www.getdbt.com/discover/understanding-data-compression.md): Discover how compression improves query performance and cuts storage costs in modern data warehouses.
- [Understanding data backup and recovery](https://www.getdbt.com/discover/understanding-data-backup-and-recovery.md): Learn the fundamentals of data backup and recovery to protect your valuable information from loss.
- [Understanding query optimization](https://www.getdbt.com/discover/understanding-query-optimization.md): Learn essential techniques and benefits of query optimization to speed up execution, reduce costs, and improve performance.
- [Understanding data indexing](https://www.getdbt.com/discover/understanding-data-indexing.md): Learn how data indexing speeds up database queries, improves read performance, and the trade-offs involved.
- [Understanding data partitioning](https://www.getdbt.com/discover/understanding-data-partitioning.md): Learn the key concepts and benefits of data partitioning for improved performance, scalability, and efficiency.
- [Understanding change data capture](https://www.getdbt.com/discover/understanding-change-data-capture.md): Learn what Change Data Capture (CDC) is, how it works, and why it's essential for real-time data sync.
- [Understanding data replication](https://www.getdbt.com/discover/understanding-data-replication.md): Learn the fundamentals of data replication, its types, benefits like disaster recovery, and best practices.
- [Understanding schema management](https://www.getdbt.com/discover/understanding-schema-management.md): Learn the essentials of schema management, how TIBCO applications use schema data, and schema basics.
- [Understanding data validation](https://www.getdbt.com/discover/understanding-data-validation.md): Learn what data validation is, why it's crucial for data integrity, and the different types of validation rules.
- [Understanding data enrichment](https://www.getdbt.com/discover/understanding-data-enrichment.md): Learn what data enrichment is, why it's important, and how it can help with compliance and data governance.
- [Understanding data cleansing](https://www.getdbt.com/discover/understanding-data-cleansing.md): Learn the essential steps of data cleansing: identifying errors, fixing incorrect and incomplete data, and removing duplicates.
- [Understanding data profiling](https://www.getdbt.com/discover/understanding-data-profiling.md): Learn what data profiling is, how it evaluates data quality, identifies patterns, and prepares data for analytics.
- [Understanding data discovery](https://www.getdbt.com/discover/understanding-data-discovery.md): Learn what data discovery is, how it works, and why it is essential for business optimization.
- [Understanding data compliance](https://www.getdbt.com/discover/understanding-data-compliance.md): Learn the essentials of data compliance, including PII protection, regionalization, and avoiding costly fines.
- [Understanding data privacy](https://www.getdbt.com/discover/understanding-data-privacy.md): Learn about the importance of data privacy, how your information is used, and ways to protect your data.
- [Understanding data security](https://www.getdbt.com/discover/understanding-data-security.md): Learn the fundamentals of data security, including best practices, threats, and how to protect your information.
- [Understanding cloud data warehouses](https://www.getdbt.com/discover/understanding-cloud-data-warehouses.md): Learn about cloud data warehouses, their key capabilities, top services (BigQuery, Snowflake, Redshift), and benefits.
- [Understanding data architecture](https://www.getdbt.com/discover/understanding-data-architecture.md): Learn about data architecture, its components, models (conceptual, logical, physical), and frameworks.
- [Understanding master data management](https://www.getdbt.com/discover/understanding-master-data-management.md): Learn why Master Data Management (MDM) is crucial for data accuracy, consistency, and decision-making.
- [Understanding data federation](https://www.getdbt.com/discover/understanding-data-federation.md): Learn what data federation is, how it works, and its importance for real-time data access and cost efficiency.
- [Understanding data virtualization](https://www.getdbt.com/discover/understanding-data-virtualization.md): Data virtualization provides fast access to data across sources without moving or copying it. Learn the key concepts.
- [Understanding real-time analytics](https://www.getdbt.com/discover/understanding-real-time-analytics.md): Please provide the title of the post so I can write the meta description.
- [Understanding batch processing](https://www.getdbt.com/discover/understanding-batch-processing.md): Discover the fundamentals of batch processing: what it is, how it works, and its impact on performance.
- [Understanding data streaming](https://www.getdbt.com/discover/understanding-data-streaming.md): Learn the fundamentals of data streaming: how real-time data movement and processing work in modern systems.
- [Understanding reverse ETL](https://www.getdbt.com/discover/understanding-reverse-etl.md): Learn how Reverse ETL syncs trusted data from your warehouse into CRMs, marketing platforms, and support systems.
- [Understanding data fabric](https://www.getdbt.com/discover/understanding-data-fabric.md): Learn how data fabric unifies data, automates governance, and enables self-service data access at scale.
- [Understanding data mesh](https://www.getdbt.com/discover/understanding-data-mesh.md): Learn the definition, principles, benefits, and challenges of data mesh architecture for decentralized data.
- [Understanding DataOps](https://www.getdbt.com/discover/understanding-dataops.md): Learn the core principles and practices of DataOps to deliver high-quality, reliable data faster and more efficiently.
- [Understanding data observability](https://www.getdbt.com/discover/understanding-data-observability.md): Learn the definition of data observability, its benefits, and the key pillars (metrics, metadata, lineage, logs).
- [Understanding metadata management](https://www.getdbt.com/discover/understanding-metadata-management.md): Learn what metadata management is, why it's critical for data quality and governance, and best practices.
- [Understanding data catalogs](https://www.getdbt.com/discover/understanding-data-catalogs.md): Discover what a data catalog is, its benefits for data discovery, governance, and self-service analytics.
- [Understanding business intelligence](https://www.getdbt.com/discover/understanding-business-intelligence.md): Learn how Business Intelligence (BI) uses data and analytics to drive informed decision-making and optimize operations.
- [Understanding data marts](https://www.getdbt.com/discover/understanding-data-marts.md): Learn what data marts are, how they differ from data warehouses, and the benefits for specific business units.
- [Understanding data lakes](https://www.getdbt.com/discover/understanding-data-lakes.md): Discover how data lakes handle all data types, enabling machine learning and advanced analytics use cases.
- [Understanding ETL processes](https://www.getdbt.com/discover/understanding-etl-processes.md): Learn the essentials of ETL (Extract, Transform, Load) processes for better data management.
- [Understanding data pipelines](https://www.getdbt.com/discover/understanding-data-pipelines.md): Learn about data pipelines: how they extract, transform, and load data to support business intelligence and analysis.
- [Understanding data modeling](https://www.getdbt.com/discover/understanding-data-modeling.md): Learn the essentials of data modeling, including its purpose, components, and how it structures data effectively.
- [Understanding agentic analytics](https://www.getdbt.com/discover/understanding-agentic-analytics.md): Unlock autonomous data analysis and decision-making. Learn what agentic analytics is and how it works.
- [Understanding data lineage](https://www.getdbt.com/discover/understanding-data-lineage.md): How data lineage transforms data from source to destination, and why it is critical for compliance, quality, and analytics.
- [Understanding data quality](https://www.getdbt.com/discover/understanding-data-quality.md): Learn what data quality means for your organization, why it matters, and how to maintain high standards.
- [Understanding data transformation](https://www.getdbt.com/discover/understanding-data-transformation.md): Learn what data transformation is, why it's essential, and how to effectively apply it in your projects.
- [Understanding analytics engineering](https://www.getdbt.com/discover/understanding-analytics-engineering.md): Learn what analytics engineering is, the skills needed, and how it bridges the gap between data and analysis.
- [Understanding enterprise data warehouses](https://www.getdbt.com/discover/understanding-enterprise-data-warehouses.md): Learn the essentials of enterprise data warehouses (EDW), a centralized system for organizational data analysis.
- [Understanding data orchestration](https://www.getdbt.com/discover/understanding-data-orchestration.md): Learn what data orchestration is, how it unifies data, improves efficiency, and drives informed decisions.
- [Understanding data ingestion](https://www.getdbt.com/discover/understanding-data-ingestion.md): Learn the tools, processes, and methods (batch, real-time, lambda) for collecting and moving data to a target site.
- [Understanding data integration](https://www.getdbt.com/discover/understanding-data-integration.md): Learn the fundamentals of data integration, why it's crucial for business intelligence, and best practices.
- [Understanding data warehouses](https://www.getdbt.com/discover/understanding-data-warehouses.md): Learn the basics of data warehouses, including metadata, ETL processes, and how they support business analytics.
- [Understanding the semantic layer](https://www.getdbt.com/discover/understanding-the-semantic-layer.md): Translate raw data into business meaning for consistency, governance, and better AI results with a semantic layer.
- [Aaron Raff](https://www.getdbt.com/authors/aaron-raff.md)
- [Aika Zikibayeva](https://www.getdbt.com/authors/aika-zikibayeva.md): dbt Labs, Senior Product Marketing Manager
- [Alex Higgs](https://www.getdbt.com/authors/alex-higgs.md): Datavault, Product Manager
- [Alex Talbott](https://www.getdbt.com/authors/alex-talbott.md): dbt Labs, Senior Data Analyst
- [Alex Welch](https://www.getdbt.com/authors/alex-welch.md): dbt Labs, Head of data
- [Alexis Baird](https://www.getdbt.com/authors/alexis-baird.md)
- [Alexis Jones](https://www.getdbt.com/authors/alexis-jones.md)
- [Allyson Larson](https://www.getdbt.com/authors/allyson-larson.md): dbt Labs
- [Alyssa Smrekar](https://www.getdbt.com/authors/alyssa-smrekar.md)
- [Amos Budde](https://www.getdbt.com/authors/amos-budde.md)
- [Amy Chen](https://www.getdbt.com/authors/amy-chen.md)
- [Amy Deora](https://www.getdbt.com/authors/amy-deora.md)
- [Anders Swanson](https://www.getdbt.com/authors/anders-swanson.md)
- [Andrea Fabry](https://www.getdbt.com/authors/andrea-fabry.md)
- [Anna Filippova](https://www.getdbt.com/authors/anna-filippova.md)
- [Azzam Aijazi](https://www.getdbt.com/authors/azzam-aijazi.md)
- [Bolaji Oyejide](https://www.getdbt.com/authors/bolaji-oyejide.md): dbt Labs, Digital Community Engagement Manager
- [Brandon Thomson](https://www.getdbt.com/authors/brandon-thomson.md): dbt Labs, Manager, Analytics Engineering
- [Brian Gillet](https://www.getdbt.com/authors/brian-gillet.md)
- [Britton Stamper](https://www.getdbt.com/authors/britton-stamper.md): dbt Labs, Director of AI Field Strategy
- [Cameron Afzal](https://www.getdbt.com/authors/cameron-afzal.md)
- [Can Efeoglu](https://www.getdbt.com/authors/can-efeoglu.md): Databricks
- [Carolina Moura](https://www.getdbt.com/authors/carolina-moura.md): Indicium, Analytics Engineer
- [Chakshu Mehta](https://www.getdbt.com/authors/chakshu-mehta.md): dbt Labs, Product Marketing Manager, AI
- [Chris Fiore](https://www.getdbt.com/authors/chris-fiore.md): dbt Labs, Senior Data Analyst
- [Christine Berger](https://www.getdbt.com/authors/christine-berger.md)
- [Claire Carroll](https://www.getdbt.com/authors/claire-carroll.md)
- [Clarke Patterson](https://www.getdbt.com/authors/clarke-patterson.md)
- [Cody Peterson](https://www.getdbt.com/authors/cody-peterson.md)
- [Connor McArthur](https://www.getdbt.com/authors/connor-mcarthur.md): dbt Labs, Co-Founder
- [Corinne Hallander](https://www.getdbt.com/authors/corinne-hallander.md): dbt Labs, Staff Product Marketing Manager
- [Dakota Kelley](https://www.getdbt.com/authors/dakota-kelley.md): phData, Senior solutions architect
- [Damaris Lasa](https://www.getdbt.com/authors/damaris-lasa.md): dbt Labs, Senior Instructional Designer
- [Daniel Le](https://www.getdbt.com/authors/daniel-le.md)
- [Daniel Poppy](https://www.getdbt.com/authors/daniel-poppy.md): dbt Labs, Manager, Content Marketing
- [Danielle Leong](https://www.getdbt.com/authors/danielle-leong.md)
- [Dave Connors](https://www.getdbt.com/authors/dave-connors.md): dbt Labs, Senior Developer Experience Advocate
- [David Tishgart](https://www.getdbt.com/authors/david-tishgart.md)
- [Drew Banin](https://www.getdbt.com/authors/drew-banin.md)
- [Dustin Dorsey](https://www.getdbt.com/authors/dustin-dorsey.md): phData, Senior Director, Data Engineering
- [Elaine Green](https://www.getdbt.com/authors/elaine-green.md): dbt Labs, Senior Manager, Communications
- [Elias DeFaria](https://www.getdbt.com/authors/elias-defaria.md): dbt Labs, Product Manager
- [Emilie Schario](https://www.getdbt.com/authors/emilie-schario.md)
- [Emily Hart](https://www.getdbt.com/authors/emily-hart.md): dbt Labs, Senior Partner Marketing Manager
- [Erica Louie](https://www.getdbt.com/authors/erica-louie.md): dbt Labs, Senior Analytics Manager, EPD
- [Erin Vaughan](https://www.getdbt.com/authors/erin-vaughan.md)
- [Ernesto Ongaro](https://www.getdbt.com/authors/ernesto-ongaro.md): dbt Labs, Staff Product Marketing Manager
- [Faith McKenna](https://www.getdbt.com/authors/faith-mckenna.md): dbt Labs, Lead Technical Instructor
- [Finn Russell](https://www.getdbt.com/authors/finn-russell.md): dbt Labs, DEI Manager
- [Florian Eiden](https://www.getdbt.com/authors/florian-eiden.md)
- [Gloria Lin](https://www.getdbt.com/authors/gloria-lin.md)
- [Gordon Rose](https://www.getdbt.com/authors/gordon-rose.md): dbt Labs, Solutions Architect
- [Grace Goheen](https://www.getdbt.com/authors/grace-goheen.md): dbt Labs, Product Manager
- [Greg McKeon](https://www.getdbt.com/authors/greg-mckeon.md): dbt Labs, Product Manager
- [Hiral Jasani](https://www.getdbt.com/authors/hiral-jasani.md): Databricks
- [Hrishi Kulkarni](https://www.getdbt.com/authors/hrishi-kulkarni.md): dbt Labs, senior customer advocacy manager
- [Jakki Jakaj](https://www.getdbt.com/authors/jakki-jakaj.md): dbt Labs, Manager, Integrated Marketing
- [James Mayfield](https://www.getdbt.com/authors/james-mayfield.md): dbt Labs, Director of Product Management
- [Janessa Lantz](https://www.getdbt.com/authors/janessa-lantz.md)
- [Jason Ganz](https://www.getdbt.com/authors/jason-ganz.md): dbt Labs, Manager, Developer Experience
- [Jeff Mills](https://www.getdbt.com/authors/jeff-mills.md): dbt Labs, Partner Marketing
- [Jeremy Cohen](https://www.getdbt.com/authors/jeremy-cohen.md)
- [Jeremy Hutt](https://www.getdbt.com/authors/jeremy-hutt.md)
- [Jillian Corkin](https://www.getdbt.com/authors/jillian-corkin.md)
- [Jiri Bjalek](https://www.getdbt.com/authors/jiri-bjalek.md): Stora Enso, Data Architect
- [Joel Labes](https://www.getdbt.com/authors/joel-labes.md)
- [Joey Gault](https://www.getdbt.com/authors/joey-gault.md): dbt Labs, Manager, Web Strategy
- [Joey Malysz](https://www.getdbt.com/authors/joey-malysz.md)
- [Jordan Stein](https://www.getdbt.com/authors/jordan-stein.md)
- [Julia Schottenstein](https://www.getdbt.com/authors/julia-schottenstein.md)
- [Kathryn Chubb](https://www.getdbt.com/authors/kathryn-chubb.md): dbt Labs, Senior Content Specialist
- [Keith Ludeman](https://www.getdbt.com/authors/keith-ludeman.md): Analytics8, Solution Architect
- [Ken Ostner](https://www.getdbt.com/authors/ken-ostner.md): dbt Labs, Vice President of Data
- [Ken Wong](https://www.getdbt.com/authors/ken-wong.md): Databricks
- [Kira Furuichi](https://www.getdbt.com/authors/kira-furuichi.md)
- [Kyle Coapman](https://www.getdbt.com/authors/kyle-coapman.md)
- [Kyle Dempsey](https://www.getdbt.com/authors/kyle-dempsey.md): dbt Labs, Senior Director, Partner Solutions Architect
- [Kyle Salomon](https://www.getdbt.com/authors/kyle-salomon.md): dbt Labs, senior solutions architect
- [Lauren Benezra](https://www.getdbt.com/authors/lauren-benezra.md)
- [Laurent Goldsztejn](https://www.getdbt.com/authors/laurent-goldsztejn.md)
- [Leona Campbell](https://www.getdbt.com/authors/leona-campbell.md)
- [Ludwig Sewall](https://www.getdbt.com/authors/ludwig-sewall.md): dbt Labs, Senior Solutions Architect
- [Luis Leon](https://www.getdbt.com/authors/luis-leon.md): dbt Labs, Partner Solutions Architect
- [Lukas Schulte](https://www.getdbt.com/authors/lukas-schulte.md): dbt Labs, Director, Engineering
- [Mallory Busch](https://www.getdbt.com/authors/mallory-busch.md)
- [Mark Porter](https://www.getdbt.com/authors/mark-porter.md): dbt Labs, Chief Technology Officer
- [Mark Wan](https://www.getdbt.com/authors/mark-wan.md): dbt Labs, Senior Solutions Architect
- [Matt Sulkis](https://www.getdbt.com/authors/matt-sulkis.md)
- [Matt Winkler](https://www.getdbt.com/authors/matt-winkler.md): dbt Labs, Principal Solutions Architect
- [Michael Carlone](https://www.getdbt.com/authors/michael-carlone.md): Brooklyn Data (Velir's data studio), Director, Analytics Engineering
- [Natalie Gladman](https://www.getdbt.com/authors/natalie-gladman.md): dbt Labs, International Legal Counsel
- [Natasha Loeffler-Little](https://www.getdbt.com/authors/natasha-loeffler-little.md): dbt Labs, World Wide Alliance Lead
- [Nate Nunta](https://www.getdbt.com/authors/nate-nunta.md)
- [Neha Hystad](https://www.getdbt.com/authors/neha-hystad.md): dbt Labs, Product Manager
- [Nick Handel](https://www.getdbt.com/authors/nick-handel.md)
- [Nikhil Kothari](https://www.getdbt.com/authors/nikhil-kothari.md)
- [Nina Anderson](https://www.getdbt.com/authors/nina-anderson.md): dbt Labs, Partner Solutions Architect
- [Paige Berry](https://www.getdbt.com/authors/paige-berry.md): dbt Labs, Senior Data Analyst: Product
- [Pat Kearns](https://www.getdbt.com/authors/pat-kearns.md): dbt Labs, Senior Resident Architect
- [Patrick Barch](https://www.getdbt.com/authors/patrick-barch.md): dbt Labs, Principal Product Manager
- [Patrick Vinton](https://www.getdbt.com/authors/patrick-vinton.md): Analytics8, Chief Technology Officer
- [Quigley Malcolm](https://www.getdbt.com/authors/quigley-malcolm.md): dbt Labs, Senior Software Engineer II
- [Rabi Abbasi](https://www.getdbt.com/authors/rabi-abbasi.md)
- [Rachael Gilbert](https://www.getdbt.com/authors/rachael-gilbert.md): dbt Labs, Lead Data Analyst
- [Randy Hanooman](https://www.getdbt.com/authors/randy-hanooman.md)
- [Reuben McCreanor](https://www.getdbt.com/authors/reuben-mccreanor.md)
- [Roxi Pourzand](https://www.getdbt.com/authors/roxi-pourzand.md)
- [Ryan Bennett](https://www.getdbt.com/authors/ryan-bennett.md): phData, Lead Data Engineer
- [Ryan Segar](https://www.getdbt.com/authors/ryan-segar.md): dbt Labs, Chief Product Officer
- [Sai Maddali](https://www.getdbt.com/authors/sai-maddali.md): dbt Labs, Director of Product Management, AI & Platform
- [Sam Ferguson](https://www.getdbt.com/authors/sam-ferguson.md): dbt Labs, Staff Product Designer
- [Sara Gawlinski](https://www.getdbt.com/authors/sara-gawlinski.md): dbt Labs, Technical Product Marketer
- [Sean McIntyre](https://www.getdbt.com/authors/sean-mcintyre.md): dbt Labs, Senior Solutions Architect
- [Sharon Rehana](https://www.getdbt.com/authors/sharon-rehana.md)
- [Stephen Robb](https://www.getdbt.com/authors/stephen-robb.md): dbt Labs, Partner Solutions Architect
- [Stephen Thibeault](https://www.getdbt.com/authors/stephen-thibeault.md): dbt Labs, Resident Architect
- [Steve Dowling](https://www.getdbt.com/authors/steve-dowling.md)
- [Sundar Subramanyam](https://www.getdbt.com/authors/sundar-subramanyam.md): Docusign, Lead Data Engineer, Global Data & Analytics
- [Tom Grabowski](https://www.getdbt.com/authors/tom-grabowski.md): dbt Labs, Product Manager, AI
- [Tristan Handy](https://www.getdbt.com/authors/tristan-handy.md)
- [Wolfram Schulte](https://www.getdbt.com/authors/wolfram-schulte.md)