Amazon SageMaker Unified Studio Notebooks now support EMR Serverless
News
This article announces that Amazon SageMaker Unified Studio Notebooks now support Amazon EMR Serverless with Apache Spark Connect for interactive analytics and data engineering workloads.
- Run PySpark and Spark SQL on EMR Serverless Spark Applications in Notebook cells
- Select Spark runtime from Notebook side panel for Python and SQL cells
- SageMaker Data Agent generates code and execution plans from natural language prompts
- Pre-initialized capacity improves session start times
- Unified Spark UI monitoring provides consistent visibility across all supported engines
- EMR Serverless offers VPC connectivity support for network isolation
- Available in all AWS Regions where SageMaker Unified Studio is supported
This launch gives data engineers and analysts greater flexibility in choosing their Spark runtime, complementing existing Athena Spark support.
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