Manage and Govern Data in Azure (Microsoft Purview)

Category: Data Governance

Architecture diagram

High-level view of the main components and data/control flows.

Low-level architecture diagram (Visio-style)

Implementation view (networking, security, ops). Click to open full size.

Low-level architecture details

Step-by-step implementation

Step 1/6

Define governance operating model

• Assign roles: data owners, stewards, custodians.
• Define naming standards and glossary terms.
• Define classification policy (PII, PCI, HR).

Validation checklist

• Stakeholders have signed off the scope, SLAs, and data/security requirements.
• You have documented naming standards, environments, and ownership (RACI).

Step 2/6

Deploy Microsoft Purview account

• Create Purview account and managed resources.
• Set up private endpoints if required.
• Configure permissions and data plane roles.

Validation checklist

• Deployment completed; smoke tests passed; rollback plan confirmed.

Step 3/6

Register sources and run scans

• Register ADLS, SQL, Fabric/Databricks where supported.
• Configure scan rulesets and schedules.
• Validate classification results.

Validation checklist

• The storage/lakehouse/warehouse resources are created and accessible via least privilege.
• A sample dataset lands successfully and can be queried/read end-to-end.
• Retention, encryption, and backup settings match requirements.

Step 4/6

Glossary, stewardship, and access workflows

• Build glossary aligned to the business.
• Assign owners and approve publishing.
• Use access request workflows and audit trails.

Validation checklist

• RBAC/roles are assigned to Entra groups (no direct user assignments).
• Policies/labels/lineage settings are enabled as required.
• Audit logs are enabled and flowing to the central workspace/SIEM.

Step 5/6

Integrate with analytics platforms

• Enable lineage from ETL tools where available.
• Link datasets to reports and dashboards.
• Use tags to drive policy enforcement.

Validation checklist

• Connections/authentication succeed and test messages/records flow through.
• Retries/DLQ/error handling are configured and validated with a forced failure.

Step 6/6

Measure adoption and compliance

• Track catalog coverage and freshness.
• Review classification accuracy and false positives.
• Report governance KPIs monthly.

Validation checklist

• Logs and metrics are flowing (check Log Analytics / Monitor).
• Alerts trigger correctly (test alert path to email/Teams/ITSM).

Video tutorials

• Enable unified data governance with Azure Purview (Azure Friday)
• Govern your data wherever it resides with Azure Purview (Azure Friday)

References

• Microsoft Purview documentation
• Purview data map concepts