September 2025
Intermediate to advanced
384 pages
11h 34m
English
Content preview from Data Governance with Unity Catalog on Databricks
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Foreword
The ability to harness, secure, and govern data and AI assets is not just a technical requirement—it is a strategic imperative. As organizations accelerate their adoption of analytics and AI, the complexity and scale of data ecosystems have grown exponentially. The challenge is clear: how do we democratize access to data and AI while maintaining robust governance, compliance, and security?
We developed Unity Catalog at Databricks in response to this challenge, as the industry’s first unified governance system for data and AI. In 2020, when we began working on the project, we were seeing more and more customers bogged down by the complexity of governing high-quality datasets than by the data analytics tasks themselves. Moreover, these same customers were starting to use unstructured data and AI in addition to tabular data, and these required a completely different governance infrastructure.
At this point, we had a choice: patch on individual governance features to our platform or design a unified governance system across the whole lifecycle of data, from unstructured files to AI models. We chose the latter, as we believed that solving this problem the “right” way would greatly simplify life for our customers. This bet paid off, with the vast majority of our workloads now running on Unity Catalog and customers reporting significant improvements from the simplicity of unified governance.
Databricks has always advocated for open source software and open formats. Unity Catalog ...
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