Overview of Purview
Enriching and Extending Purview Assets
Purview Deployment Considerations
The course is part of this learning path
In this course, users will explore the suite of tools available in Microsoft Purview for registering and scanning data sources, connecting a business glossary, searching the data catalog, and customizing metadata with enrichments and classifications. In addition, this course will review some of the management and administrative functionality in Purview, including creating roles, managing authorizations, and using the Apache Atlas API for custom implementations. This course will also review deployment best practices and network security considerations. By completing this course, users will have a strong understanding of the suite of functionality currently available in Purview and how these tools support a larger governance initiative within an organization.
- Provision and install Microsoft Purview
- Create and manage a role
- Register and scan data sources
- Create a business glossary
- Enrich metadata with classifications
- Review data lineage tooling
- Understand deployment best practices
- Take network security considerations into account
This course is designed for individuals who are responsible for setting up, monitoring, or exploring data catalog and governance programs within their organization.
To get the most from this course, you should have some familiarity and experience with governance tooling as well as a basic understanding of the Azure portal.
Let's review some of the major topics from our United Data Governance with Microsoft Purview Course. In the first lecture group, we reviewed how to provision and set up Microsoft Purview in our Azure tenant. We stepped through a number of roles that are available for Purview users and talked through how data sources are registered and added to collections in the program. Once added, we demonstrated how to ingest target metadata into the platform by scanning the sources.
We also reviewed how the business glossary is populated with various terms from all aspects of the organization. We ended the first section by reviewing the different pathways to search or browse the Purview data catalog. In the second lecture group, we reviewed how to enrich metadata with classifications, glossary terms, and custom fields. These help extend the ability of users to search and find relevant data elements. Lineage providers can support showing an end-to-end journey of data as it moves through our data estate. We also reviewed the 200+ classifications that are available in Purview as well as the manner to create custom classifications.
Purview data estate insights helps provide a summary view of our data map and management controls offer a granular way of administering various aspects of the program. In the last lecture group, we reviewed various deployment considerations when releasing Purview. For security conscious organizations, we can use private endpoints and private networks to connect to our Purview catalog. This ensures that only allowable network traffic is able to reach these resources. Furthermore, we explored how Purview scanning can be extended to other cloud providers like Amazon Web Services and Snowflake. Finally, we reviewed the phased approach that Purview should be released in. This ensures that the right stakeholders are participating in the process each step along the way.
Steve is an experienced Solutions Architect with over 10 years of experience serving customers in the data and data engineering space. He has a proven track record of delivering solutions across a broad range of business areas that increase overall satisfaction and retention. He has worked across many industries, both public and private, and found many ways to drive the use of data and business intelligence tools to achieve business objectives. He is a persuasive communicator, presenter, and quite effective at building productive working relationships across all levels in the organization based on collegiality, transparency, and trust.