Best of both worlds: dbt + Databricks Lakeflow Jobs

Nina Anderson explores the integration of dbt and Databricks Lakeflow Jobs, introducing a new dbt Platform Task Type that allows for seamless orchestration of dbt jobs directly within Databricks. This advancement, now in Private Preview and expected to be in Public Preview by the Coalesce conference, aims to unify data ingestion, transformation, and AI pipeline orchestration into a single workflow, enhancing productivity by eliminating the need to switch between interfaces. The integration supports cross-project and cross-platform orchestration, enabling a dbt Mesh architecture at scale while providing organizations with centralized control and developers with flexibility. This collaboration offers enhanced metadata syncing, governance, and performance metrics, effectively creating a single source of truth and transforming data team collaboration.

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