Data Governance with Microsoft Purview – Data Catalog, Lineage, Policies & Security

In this training, you'll learn how to use Microsoft Purview as a central solution for data governance and data security. You'll discover how to register data assets, manage access, and set up governance workflows that comply with legislation and regulations. Through hands-on exercises, you'll work with the Unified Data Catalog, Data Map, Data Lineage, policies, and the Enterprise Glossary — building a well-managed, transparent data layer within your organisation, fully aligned with GDPR and modern data governance standards.

What you'll learn

• The role of Microsoft Purview within modern data governance.
• Working with the Unified Catalog to centrally manage data assets and metadata.
• Registering data assets in the Data Map and automatically discovering them via scans.
• Using Data Lineage to visualise data flows and dependencies.
• Configuring Data Policy and Information Protection to regulate use and access.
• Setting up roles, domains, and permissions across governance areas.
• Using scan rules and data health monitoring to maintain data quality.
• Managing the Enterprise Glossary for consistent definitions and terminology.

After this course you'll be able to:

• Independently set up a Microsoft Purview environment for data governance.
• Centrally manage and document data assets, metadata, and data flows.
• Configure access and usage policies with Data Policies and Information Protection.
• Visualise Data Lineage for audits, impact analyses, and compliance questions.
• Assign roles and permissions based on governance domains and responsibilities.
• Use data scans, scan rules, and data health monitoring to track quality and coverage.
• Set up and manage an Enterprise Glossary for consistent communication across the organisation.

Who is this for

• Data governance and data management professionals.
• Data stewards, data owners, and compliance officers.
• Security and privacy professionals involved in data management and GDPR.
• BI and data platform teams responsible for data quality and access.
• IT and data architects looking to establish a central governance layer.

Prerequisites

• A basic understanding of data platforms, data warehouses, or data lakes is recommended.
• Experience with Microsoft Azure is a plus, but not strictly necessary.
• Basic knowledge of privacy and compliance topics (such as GDPR) is helpful.

Programme

Part 1 – Introduction to Data Governance & Purview

• Concepts: data assets, metadata, catalog, and policies.

Part 2 – Unified Data Catalog & Data Map

• Registering, scanning, and organising data assets.

Part 3 – Data Lineage

• Visualising data flows and dependencies for audits and impact analysis.

Part 4 – Data Policy & Information Protection

• Access management, classification, and protection of sensitive data.

Part 5 – Roles, Domains & Permissions

• Governance roles, RBAC, and domain-level segmentation.

Part 6 – Scans, Scan Rules & Data Health

• Quality, coverage, and monitoring of data assets.

Part 7 – Enterprise Glossary

• Recording business definitions, terms, and governance agreements.

Part 8 – Best Practices & Q&A

• Implementation strategy, adoption, and next steps for your organisation.