AWS launched an Apache Spark upgrade agent that automates version migrations for Amazon EMR on EC2 and EMR Serverless, reducing upgrade timelines from months to weeks. The agent analyzes PySpark and Scala code, identifies API changes, suggests modifications through conversational interfaces, and validates data quality throughout the process. Currently supports upgrades from Spark 2.4 to 3.5 and is available in all AWS Regions with SageMaker Unified Studio support, accessible through IDE Spaces, Kiro CLI, or MCP-compatible IDEs.

2m read timeFrom aws.amazon.com
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