More teams are running their dbt transformations on Databricks Lakehouse: an open platform with no lock-in, unified pipelines, built-in Unity Catalog governance, and strong price/performance.
Official announcementDatabricks Blog
How to Repoint dbt ETL Pipelines to Databricks
From the official release
Your dbt project works: models compile, tests pass, and your transformation logic lives in version-controlled SQL and YAML, not hardwired into any one warehouse. dbt’s open adapter framework is designed for exactly this decoupling, so moving from one cloud data warehouse to another is mostly a matter of changing the adapter and connection config plus a few dialect tweaks - not rewriting your DAG or business logic.
This is a short excerpt. Read the full announcement on the official source.
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