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10.1 — What Is Governance in Microsoft Fabric & How Purview Powers It

Why Governance Became the #1 Analytics Priority

Modern analytics systems are powerful — but without governance, they become dangerous:

• Inconsistent security across workloads
• Uncontrolled data access
• Duplicated and conflicting data definitions
• Broken lineage — no one knows where data came from
• Compliance violations hiding in plain sight
• Unreliable dashboards built on ungoverned data
• Unmanaged costs spiralling at scale

Microsoft Fabric solves this with unified governance powered by Microsoft Purview — the first fully unified governance model ever built into an analytics platform.

What Is Governance in Fabric?

Governance in Fabric ensures data is:

• Secure — only the right people access the right data
• Classified — sensitivity and risk levels are known and tagged
• Labeled — data carries its classification everywhere it goes
• Tracked — every access and change is audited
• Compliant — regulatory requirements are enforced, not hoped for
• Consistent — definitions, metrics, and logic are the same across every tool
• Traceable — lineage shows exactly where data came from and where it goes

Purview — The Governance Engine of Fabric

Purview is deeply integrated with Fabric and governs it centrally. It is not a bolt-on — it is the governance layer of the platform itself.

Purview Capability	What It Does in Fabric
Lineage	Maps data from source through pipelines, notebooks, to dashboards
Sensitivity Labels	Classifies data assets with consistent protection levels
Access Control	Enforces who can read, edit, or use governed assets
Data Classification	Automatically identifies PII, financial, and regulated content
Audit Logs	Records every access event for compliance and investigation
Policy Enforcement	Blocks unauthorized use automatically — not just alerts
Data Catalog	Central registry of all Fabric assets with metadata
Business Glossary	Consistent definitions for metrics and entities across teams

Unified Governance — Why Fabric Is Different

Traditional analytics platforms have fragmented governance — lakes have one model, warehouses another, BI tools another, ML systems another. Every workload requires a separate governance strategy, and they never truly align.

Fabric unifies governance across every workload in a single model:

• Lakehouses
• Warehouses
• Pipelines
• Notebooks
• Event Streams
• Power BI & Semantic Models
• OneLake

One governance model. One lineage graph. One set of sensitivity labels. Applied consistently, everywhere.

This is the first time that has been possible — and it changes everything about how enterprises manage data at scale.

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