Microsoft previews dbt support in Fabric pipelines
Microsoft has added a preview feature to Fabric pipelines that runs dbt jobs directly. dbt is a tool that transforms raw data into analysis-ready tables using SQL code. The new activity handles dbt's core steps: building models, running them, and testing results. Users can select specific data nodes, pass dynamic parameters, and set dependencies between jobs. Pipeline run history tracks status, with options for notifications on completion.
Before, preparing data for Power BI meant chaining slow Power Query steps or running dbt separately from Fabric, leading to disjointed refreshes that took hours on messy sources. Now pipelines orchestrate dbt natively, feeding cleaner tables straight to Power BI semantic models in Fabric. This cuts the chaos of inherited 200-step queries, paving the way for reliable, fast-loading dashboards without constant manual fixes.
Analysis
dbt in pipelines sounds fancy but it's a detour for your Excel-to-dashboard struggles – bosses want visuals that load now, not warehouse wizardry. Republish your slowest Power BI report to a Fabric lakehouse using Direct Lake mode today; it skips transforms for instant refreshes and silences the 'why not Excel' crowd.
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