Batch to Streaming in One Easy Step

last updated on Oct 21, 2024
In this talk we will demonstrate how to get started with streaming analytics using the same analytics engineering skillset that keeps you productive in batch analytics.
Traditionally, streaming analytics has required a separate knowledge base, tooling, and ecosystem from batch analytics, one that is comparatively poorer as an ecosystem with a lot less tooling.
We believe that the future of streaming is the same as that of batch analytics - using dbt and SQL for modeling and working with your data. In this talk, we’ll walk through how Materialize helps you build a SQL-first streaming pipeline, as well as go through real-life examples of how Materialize users are building streaming pipelines in production with the very same dbt models they built for their batch data.
Live virtual event:
Experience the dbt Fusion engine with Tristan Handy and Elias DeFaria on October 28th.
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