Fine grained access control on single user compute

lara_rachidi — Mon, 02 Sep 2024 20:02:06 GMT

In this video, we delve into the latest update in Databricks: Fine-Grained Access Control now available on single-user clusters. This feature, now in public preview, brings significant improvements for data scientists and ML engineers, particularly those working with distributed ML libraries, GPUs, or R. What You’ll Learn: - How fine-grained access control enhances single-user clusters for ML workloads - The benefits of using this feature with Unity Catalog for views, row filters, column masking, and materialized views - Behind-the-scenes workings of serverless compute with a data filtering system - Cost considerations and how it impacts your billing - This update is enabled for runtime version 15.4 and above. If you’re using serverless compute for notebooks and workflows, you can now leverage these advanced data control features seamlessly! Key Moments: 0:06 - Introduction to Fine-Grained Access Control on Single-User Clusters 2:17 - How Fine-Grained Access Control Works Behind the Scenes 3:33 - Overview of Unity Catalog Products and Single-User Clusters 4:04 - Cost Implications and Serverless Compute Pricing

article Fine grained access control on single user compute in Databricks TV

Fine grained access control on single user compute