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. We’ll have a special guest appearance from Emily Hawkins, Data Infrastructure Lead at Drizly. She'll share her experience using Materialize + dbt to help solve for cart abandonment.
Join the chat in the #coalesce-materialize channel (https://bit.ly/3m3KnHK). If you’re not yet a member of dbt Community Slack, sign up at https://www.getdbt.com/community/join-the-community
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