This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.
Azure Purview as a unified data governance service keeps expanding support for various data sources across on-premises, multi-cloud, and SaaS applications. It helps you generate a holistic, up-to-date map of your data landscape with automated data discovery. Now you can easily bring over metadata from Snowflake by scanning your Snowflake databases, then manage and govern your Snowflake data in Azure Purview.
Register and scan
Azure Purview data source administrators can start by registering Snowflake under the data map, and set up reoccurring or one-time scan. You can choose to scan the entire Snowflake database(s) or scope the scan to selective schemas. When scanning Snowflake, Purview extracts rich set of metadata including Snowflake server, databases, schemas, tables, views, stored procedures, functions, pipes, stages, streams, tasks, sequences, and table/view/stream columns, as well as fetches static lineage on assets relationships among tables, views, and streams. Learn more about the prerequisites and step-by-step instruction to register and scan Snowflake in Azure Purview.
Search and browse assets
Once the scan completes, you can discover assets via search or browse.
You can search for the Snowflake assets by keyword, and narrow down results by using the facet filters.
To browse, click on the “Browse assets” tile on the Purview home page, navigate to the “By source type” tab and select Snowflake. You can then see the list of Snowflake assets brought in by the scan.
View and manage metadata
Click into the asset to view more details including the properties, schema, lineage, and more. You can also add business metadata like descriptions, glossary terms, and manually classify the data assets to further manage and govern your Snowflake data in Purview.
Get started today!