Go With The (data)Flow
summary
Overview of Power BI Dataflows as cloud staging in Power BI Service that use Power Query (M) to cleanse, merge and share entities; dataflows support scheduled refresh, reusable entities for multiple datasets, and JSON export/import (via an external tool) to copy environments. Premium unlocks compute engine, DirectQuery/linked entities, incremental refresh and ML. Concrete gotchas: SharePoint loads can be faster via dataflows, refresh history errors download as CSV, and orchestration requires schedule dataflows before datasets to keep reports current.
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chapters (12)
- 0:00Introduction and overview
- 3:21What are Power BI data flows
- 7:19Why data flows matter
- 11:43Demo: Exploring data flows
- 16:45Using data flows in Power BI Desktop
- 23:19Moving data flows between workspaces
- 27:52Creating data flows from scratch
- 31:32Advanced data flow creation tips
- 37:03Lineage and data flow connections
- 40:13Multiple data sets from one flow
- 45:16Scheduling refreshes correctly
- 47:26Summary and Q&A
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