Use trusted identity propagation for Apache Spark interactive sessions in Amazon SageMaker Unified Studio
Big Data Blog
This article discusses the introduction of trusted identity propagation for Apache Spark interactive sessions in Amazon SageMaker Unified Studio, enabling enterprises to:
- Use corporate identities integrated with AWS IAM Identity Center for accessing data
- Provide fine-grained access control based on user or group identity
- Support multiple compute options like EMR Serverless, AWS Glue, and Amazon EMR on EC2
- Enable secure, isolated user sessions with detailed auditing capabilities
Key benefits include enhanced data security, simplified workforce data access, and a unified governance model for enterprise analytics platforms. The feature allows data scientists to access data using their corporate identities across different AWS analytics services with granular permissions managed through AWS Lake Formation.
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