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.
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
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.