Configure seamless single sign-on with SQL analytics in Amazon SageMaker Unified Studio
Big Data Blog
This article provides a comprehensive guide to configuring seamless single sign-on (SSO) with SQL analytics in Amazon SageMaker Unified Studio using trusted identity propagation (TIP). The solution enables fine-grained data access control based on individual user identities across AWS services.
- Enables users to access data through SSO with IAM Identity Center
- Integrates AWS Lake Formation for granular permission management
- Supports access to both Amazon Redshift and Amazon Athena
- Allows row-level and column-level data access restrictions
- Provides a unified interface for data analysis across different storage systems
The solution demonstrates how organizations can implement secure, identity-based data access, allowing different users to view only the data they are authorized to see while maintaining a seamless user experience.
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