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.
Last modified on: Oct 21, 2024
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