Building trust in your data. Why data governance is the key to success.
summary
Explains why metadata, lineage and quality checks must be operationalized, not just theorized, and shows live demos of Azure Purview scanning Power BI and Synapse for searchable catalogs and lineage while comparing to Alation/Collibra/Informatica. Gives concrete ROI: a messy vendor registry causes about €300k in annual fines and fixing data quality plus automation yields roughly €1.2M annual savings. Highlights business glossary, steward inboxes, rule propagation, column‑level lineage and where Purview is feature‑light but cost‑effective.
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chapters (10)
- 0:00Start
- 1:24What is data governance?
- 2:31Why should you care?
- 3:55Data management
- 5:40Data catalog
- 18:13Business glossary
- 23:27Data quality
- 29:02Data linage
- 33:23Data loss prevention & privacy
- 35:13So, should you care?
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