Amazon SageMaker Unified Studio announces support for EMR on EKS as a compute resource for interactive Apache Spark sessions. This launch enables EMR on EKS capabilities such as large-scale distributed compute with automatic scaling, cost optimization, and containerized workload isolation directly within Amazon SageMaker Unified Studio. It allows customers to transition between interactive analysis and production-level data processing jobs without moving their workload between platforms.
Building on this capability, EMR on EKS in Amazon SageMaker Unified Studio now supports corporate identity through AWS Identity Center’s trusted identity propagation. This enables seamless single sign-on and end-to-end data access traceability for interactive analytics sessions on EMR on EKS clusters. Data practitioners can access Glue Data Catalog resources using their corporate credentials from SageMaker Unified Studio’s JupyterLab environment, while administrators maintain fine-grained access controls and audit trails. This integration simplifies security governance and streamlines compliance for enterprise data workflows.
EMR on EKS compute support in Amazon SageMaker Unified Studio is available in all existing SageMaker Unified Studio regions. To learn more, visit the SageMaker Unified Studio documentation.
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Source: Amazon Web Services
