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Microsoft Purview: Data Catalog & Data Governance
Rating: 4.4 out of 5(105 ratings)
526 students

Microsoft Purview: Data Catalog & Data Governance

Build data governance, a reliable data catalog, strong data quality, and a foundation for true data-based decision makin
Last updated 6/2026
English

What you'll learn

  • Understand how Microsoft Purview supports modern data governance and data-based decision making.
  • Build a reliable enterprise Data Catalog by scanning and organizing data from Azure SQL, ADLS, Power BI, and Fabric.
  • Create and maintain a structured Business Glossary to align definitions across the organization.
  • Apply data quality rules, profiling, and monitoring to ensure trustworthy, high-quality data.
  • Interpret data quality insights to support informed, strategic business decisions.
  • Use Purview lineage to trace end-to-end data flows and understand their impact on reports and analytics.
  • Integrate Purview with Microsoft Fabric to establish unified governance across your analytics ecosystem.

Course content

9 sections40 lectures4h 47m total length
  • Welcome and getting to know your lecturer3:31
  • Microsoft Purview Overview9:59
  • Requirements: Azure subscription2:08
  • Create your Azure Subscription1:17

Requirements

  • Access to an organizational Azure subscription or a personal pay as you go subscription is helpful if you want to work hands-on

Description

Modern businesses rely on data to make better decisions, yet many struggle with unclear definitions, scattered metadata, and inconsistent data quality. Microsoft Purview solves these challenges by bringing governance, cataloging, quality, and lineage together — and this course shows you how to use it not only to organize your data, but to unlock it for strategic, data-based decision making across your organization.

You will learn how to build a powerful Data Catalog that makes your data assets transparent, well-documented, and easy to discover. As we scan Azure SQL, ADLS, Power BI, and Microsoft Fabric workspaces, you’ll understand how to gather and interpret the data your teams rely on. By enriching assets with context and classifications, you create the foundation that enables analysts and decision-makers to trust and act on their insights.

A consistent business language is essential for good decisions. That’s why you’ll also build a clear, practical Business Glossary that aligns definitions across departments and connects directly to your datasets. This shared understanding reduces confusion, speeds up analysis, and improves the quality of insights that guide strategic decisions.

Data quality and lineage play a critical role in making reliable, business-driven choices. In this course, you’ll learn how to apply rules, profile datasets, and trace data flows end-to-end — ensuring that the information behind your dashboards and reports is accurate, complete, and trustworthy. With clear visibility into how data moves and transforms, leaders can make decisions with confidence instead of assumptions.

Finally, you’ll explore how Purview integrates with Microsoft Fabric, governing Microsoft Power BI Reports and datasets. This gives organizations a unified view of their analytical ecosystem, allowing them to embed governance directly into their decision-making processes and adopt truly data-driven strategies.

This course is perfect for data engineers, BI developers, analysts, architects, and governance professionals who want real-world skills they can apply immediately. No prior Purview experience is required.

If you want to establish trust in your data, improve the quality of insights, and support smarter business decisions, enroll now and take your data governance capabilities to the next level with Microsoft Purview.

Who this course is for:

  • Data Engineers, BI Developers, and Analysts who need trusted, well-governed data for analytics and reporting.
  • Data Architects building scalable data platforms on Azure and Microsoft Fabric.
  • Data Governance, Compliance, and Metadata Management professionals.
  • Business users and decision-makers who rely on high-quality data for strategic, data-based decisions.