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More Context, Less Chaos: How Atlan and Unity Catalog Power Column-Level Lineage and Active Metadata 

Databricks
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“What does this mean? Who created it? How is it being used? Is it up to date?” Ever fielded these types of questions about your Databricks assets?
Today, context is a huge challenge for data teams. Everyone wants to use your company’s data, but often only a few experts know all of its tribal knowledge and context. The result - they get bombarded with endless questions and requests.
Atlan - the active metadata platform for modern data teams, recently named a Leader in The Forrester Wave: Enterprise Data Catalogs for DataOps - has launched an integration with Databricks Unity Catalog. By connecting to UC’s REST API, Atlan extracts metadata from Databricks clusters and workspaces, generates column-level lineage, and pairs it with metadata from the rest of your data assets to create true end-to-end lineage and visibility across your data stack.
In this session, Prukalpa Sankar (Co-Founder at Atlan and a lifelong data practitioner) and Todd Greenstein (Product Manager with Databricks) will do a live product demo to show how Atlan and Databricks work together to power modern data governance, cataloging, and collaboration.
Connect with us:
Website: databricks.com
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Twitter: / databricks
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Instagram: / databricksinc

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11 сен 2024

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Комментарии : 1   
@muthuvelsivaramaman
@muthuvelsivaramaman 2 года назад
👍 Very Interesting