Skip to main content

Enabling Data Source Discovery with Azure Data Catalog


Learn how Azure Data Catalog enables enterprises to achieve a focused business impact by discovering and connecting to diverse data assets and by enabling self-service data source discovery.

Enrollment is Closed View course

About this course

Azure Data Catalog helps data producers and data consumers to discover, organize, and understand diverse data assets, and it enables self-service data source discovery with a crowdsourced model of metadata and annotation in a community and culture of data. In this computer science course, data professionals and business intelligence experts can get hands-on with the cloud-based Azure Data Catalog service to see how it works.

Start with an overview of Azure Data Catalog and its abilities, and then look at adopting and creating a Data Catalog. Register data sources, discover and annotate assets, and define a Business Glossary. Get the details on administering and securing the catalog so you can get the most from—and help protect—existing information assets. Don’t miss this chance to see how Azure Data Catalog delivers a server-less metadata repository that can empower your organization to get more value from its existing data sources.

What you'll learn

  • The benefits of curating organization data assets
  • Azure Data Catalog adoption patterns, capabilities and features
  • Creating a catalog
  • Registering data assets
  • Annotating and discover data assets
  • Defining and managing a business glossary
  • Discovering data assets
  • Administering the catalog

Course Syllabus

Module 1: Introducing Azure Data Catalog
Module 2: Provisioning Azure Data Catalog – Adoption and Creation
Module 3 Working with Azure Data Catalog – Registering Data Sources, Discovering and Annotating Assets, Defining a Business Glossary
Module 4: Administering Azure Data Catalog – Securing the Catalog, Additional Topics
Module 5: Final Assessment

Meet the instructors

Peter Myers

Peter Myers

Consultant, Trainer and Presenter Bitwise Solutions

Peter Myers is a consultant, trainer and presenter, and has worked with Microsoft database and development products since 1997. Today he specializes in all Microsoft Business Intelligence products and also authors training course content for Microsoft products and services. He has a broad business background supported by a bachelor’s degree in applied economics and accounting, and he extends this with extensive experience backed by current MCSE certifications. He has been a Data Platform MVP since 2007.

Cari Mason

Cari Mason

Content Developer Microsoft

Cari is a content developer at Microsoft. Her current role involves developing, producing and delivering Data Analytics courseware. Her experience includes developing content for IT Professionals and developers with a major focus on Business Intelligence Solutions. She has worked with the University of Washington’s continuing education programs, assisting with C# programming, web development, and BI courses. Her passion is in education and diversity, with a special interest in Autism support and career growth. She is an author of Pro SQL Server 2012 BI Solutions.

Matthew Roche

Matthew Roche

Senior Program Manager Microsoft

Matthew Roche is a Senior Program Manager in Microsoft’s Cloud and Enterprise Group, where he focuses on enterprise information management, crowdsourced metadata, and data source discovery. Matthew currently works on Azure Data Catalog; previously he has worked on Power BI, SQL Server Integration Services, Master Data Services, and Data Quality Services. Before joining Microsoft in 2008 he was a Microsoft Most Valuable Professional for SQL Server, and worked as a data warehousing and business intelligence consultant and trainer. When not enabling the world to get more value from its data, he enjoys reading, baking, and competitive longsword combat.

  1. Course Number

    DAT238x
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    Total 10 to 20 hours
Enroll