Govern your data in Fabric
summary
Shows how Fabric’s governance features actually work: sensitivity labels classify artifacts (lakehouses, pipelines, datasets) but inheritance stops after a manual change and the dataset-to-report propagation is partial; endorsements vs certification distinguishes crowd promotion from a limited certified stamp; lineage/impact analysis shows one-workspace upstream/downstream only and can email owners; scanner API returns full JSON metadata for automation while Purview Hub supplies built-in inventory reports — PowerShell automates scans and domain assignment.
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chapters (8)
- 0:00Data governance intro
- 1:52Tooling in governance
- 3:56Sensitivity labels
- 12:09Endorsements and certification
- 17:22Lineage and impact analysis
- 25:52Domains for grouping
- 36:09Scanner API for metadata
- 44:01Summary
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