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Databricks Security 101: The Art of Smart Permissions Management

Amit kumar
7 min readJan 8, 2025

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Managing permissions in a Databricks environment can be like organizing a neighborhood garage sale. Everyone wants to take a peek, grab something they don’t need, and leave their mark. The challenge is to strike the perfect balance between accessibility and security while ensuring the environment remains organized and functional. Permissions are the cornerstone of this delicate balance.

Securing your Databricks workspace requires more than just setting up basic permissions — it’s about creating a structured, scalable system that keeps your data safe without sacrificing productivity. Let’s dive into the how-to of permissions management and explore effective strategies for securing your Databricks environment, including leveraging Unity Catalog for fine-grained access control, automating permissions assignments, conducting regular audits, and more.

1. Start with Least Privilege

If Databricks were a kingdom, least privilege would be your trusty moat. The idea is simple: give users only the permissions they absolutely need to do their job, nothing more.

Why is this so important? Over 85% of data breaches stem from human error or insider threats, many of which involve over-provisioned access. If every user has admin rights, you’re basically leaving the castle gates wide open.

Implement a tiered approach:

  • Start with viewer or read-only roles.

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Amit kumar
Amit kumar

Written by Amit kumar

🎯 Writing about AI, Data Architecture and Engineering, Cloud Platforms, Cloud FinOps, Enterprise Architecture, and Solution Design

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