How to Repoint dbt ETL Pipelines to Databricks

Databricks has published guidance for teams that want to repoint their existing dbt ETL pipelines at the Databricks Lakehouse. The headline frames it as a how-to, and the accompanying excerpt notes that more teams are running dbt transformations on Databricks Lakehouse.

The material is presented as an open approach, according to the excerpt, though the full source text was not available. dbt is a widely used tool for defining and running SQL-based transformations; repointing a pipeline refers to switching the execution target those transformations run against, so existing dbt models and jobs are directed at Databricks instead of their previous environment.

Why it matters: teams already invested in dbt pipelines have published, step-by-step guidance available for moving their transformation workloads onto Databricks Lakehouse, which is where the vendor says a growing number of teams are running them.