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Databricks has released new fine-grained access control primitives: column masks and row filters, in addition to their existing ANSI SQL DCL, for controlling table-level access. Immuta leverages these primitives to build a powerful abstraction and orchestration layer, which creates a new frontier for cloud scalability: the Data Security frontier.

In quick summary

• If you were to explain why cloud adoption has been so ubiquitous, a simplistic way to state it would be: The cloud handles things you don’t want to handle yourself so you can focus on more value-driving initiatives.
• Before diving into why you need a scalable data security abstraction, we will provide some details on the new, powerful Databricks Unity Catalog primitives. Databricks has offered Unity Catalog for quite a while, however, its Unity Catalog fine-grained access controls are new.
• Remember how we said the cloud becomes more powerful by building abstraction and orchestration on primitives that were built upon other abstractions and orchestrations? So, why do I need a scalable data security abstraction? Same answer: it handles things you don’t want to handle yourself so you can focus on more value-driving initiatives.
• Let’s walk through the above use case once again, but this time instead of manually solving the steps, we will instead use the Immuta abstraction to orchestrate solving them.

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