Tens of thousands of organizations rely on dbt for data transformation. Where you run it shapes everything: how much it costs to run your dbt pipelines, how fast they ship, and how much operational work they carry. Running dbt on Databricks gives your dbt workloads an open platform and a unified pipeline.
Official announcementDatabricks Blog
How to get the most out of running dbt on Databricks
From the official release
Over 3000 organizations run dbt on Databricks, and most teams could be getting a lot more out of it. This blog highlights the practices that make dbt pipelines cheaper, faster, and simpler to operate on Databricks.
Make your dbt pipelines cheaper and faster
dbt bills climb from work you don't need to repeat. Full rebuilds recompute data that hasn't changed, keeping queries fast takes manual-tuning, and when the bill spikes there's no clear attribution back to the dbt models that caused it. Adopt the practices in this section and your pipelines will:
This is a short excerpt. Read the full announcement on the official source.
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