7 updates from Amazon Web Services.
Amazon EMR on EC2 now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed…
Amazon EMR on EKS now supports the Apache Spark troubleshooting agent. Data engineers can now diagnose EMR on EKS job failures through natural language, receiving automated root cause analysis and…
Amazon EMR Serverless now supports updates to key application configurations such as maximum capacity, and custom image settings — without stopping and restarting the application. New workloads…
Amazon EMR Serverless now supports interactive sessions with Spark Connect, enabling you to develop and run Apache Spark applications from managed notebooks in Amazon SageMaker Unified Studio, as…
Amazon EMR now supports Apache Spark 4.0.2 across all three deployment models. With Spark 4.0.2, you can build and maintain data pipelines more easily with ANSI SQL and VARIANT data types, enforce…
Amazon EMR Serverless is now generally available in six additional AWS Regions - Asia Pacific (Hyderabad), Asia Pacific (Malaysia), Asia Pacific (New Zealand), Asia Pacific (Taipei), Asia Pacific…
Amazon EMR 7.13 is now available with Python 3.11 and version upgrades for additional applications. EMR 7.13 ships with Python 3.11 for Apache Spark by default. This release also includes patch…