Browsing: EMR

Amazon EMR Managed Scaling has been helping customers automatically resize their clusters to optimize performance and reduce costs. We are…

Growing data volume, variety, and velocity has made it crucial for businesses to implement architectures that efficiently manage and analyze…

Amazon EMR Serverless is a deployment option for Amazon EMR that you can use to run open source big data…

In this post, we show you how to implement real-time data ingestion from multiple Kafka topics to Apache Hudi tables…

At AWS re:Invent 2025, Amazon Web Services (AWS) announced serverless storage for Amazon EMR Serverless, a new capability that eliminates…

Apache Spark Connect, introduced in Spark 3.4, enhances the Spark ecosystem by offering a client-server architecture that separates the Spark…

Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining API compatibility with open source Apache Spark…

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible with…

This post shows how Amazon EMR 7.12 can make your Apache Spark and Iceberg workloads up to 4.5x faster performance.…

With the Amazon EMR 7.10 runtime, Amazon EMR has introduced EMR S3A, an improved implementation of the open source S3A…