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Think Twice Before Deleting a User: Avoiding Ownership Chaos in Databricks

Deleting a user in Databricks might seem harmless—until workflows start failing, SQL queries break, and ownership chaos unfolds. In this post, I share a hard-learned lesson about Databricks ownership, how to prevent disruptions, and what to do if you’ve already made the mistake. Learn best practices for managing SQL objects, workflows, and user permissions to avoid unexpected failures. Because when it comes to user deletion in Databricks, thinking twice can save you from a major headache.

39 Comments



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Aug 29

This is such a crucial topic, Chen! Databricks ownership chaos sounds like a nightmare, and your advice is gold. It really makes you think about all the dependencies. Sometimes managing these complex systems feels like a high-stakes strategy game. Maybe a little pipsnyt could help clear the mind after tackling such intense problems!

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