Getting the most out of dbt on Databricks

Customers often run dbt across a stack stitched together from multiple tools, and as dbt projects scale in production, pipelines get slower and more expensive, the same metric gets defined differently across teams, and governance ends up outside the dbt project.

This session shows how running dbt on the Databricks Lakehouse takes those on, an open platform where your whole dbt pipeline lives in one place. We'll cover building, orchestrating, optimizing, and governing dbt pipelines, plus what's new, including dbt Core v2 on Databricks. You'll leave knowing how to make your dbt pipelines faster, cheaper, and easier to run.