Aws Re:invent 2025 - Simplify Permissions Management Across Amazon...

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📖 AWS re:Invent 2025 - Simplify permissions management across Amazon Redshift warehouses (ANT350)

In this video, Sandeep Adwankar introduces Amazon Redshift Federated Permissions, a new feature that simplifies permission management across multiple data warehouses. The solution allows permissions to be defined once in a producer warehouse and automatically enforced across all consuming warehouses through AWS Glue Data Catalog registration. It supports fine-grained access controls including data masking, row-level security, and column-level access using global identities via IAM roles or IAM Identity Center. A live demo demonstrates how a marketing warehouse can share data with a sales warehouse, applying masking and row-level policies without requiring configuration on the consumer side. The feature enables horizontal scalability and auto-mounting of databases, eliminating the need for manual data share creation. Available in Redshift patch version 1.97.

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Hello everyone. Welcome to the session, Lightning Talk ANT350, Simplifying Permission Management for Amazon Redshift Warehouses. This is a new launch, so we are launching Amazon Redshift Federated Permissions that will enable customers to simplify the permission management. I'm Sandeep Adwankar. I'm a Product Manager for AWS and really excited to talk about this new launch.

Amazon Redshift is Amazon's cloud data warehouse. It provides high scalability across petabyte-scale warehouses. It provides 2x price performance improvements compared to any other warehouse solutions in the market, and it provides access to data across multiple data sets for multiple use cases. What customers are also using is they're building multiple warehouses. As the data is increasing, they want to add additional warehouses, and that's where the multi-warehouse architecture becomes important.

Customers can now have data for different use cases, for example, reporting dashboards or exploratory analytics or streaming and batch, in different clusters or warehouses at the same

Source: Dev.to