Browsing: EMR

[ad_1] As organizations scale their data processing and analytics workloads on Amazon EMR on EC2, observability across cluster health, job…

[ad_1] Amazon EMR Managed Scaling has been helping customers automatically resize their clusters to optimize performance and reduce costs. We…

[ad_1] Growing data volume, variety, and velocity has made it crucial for businesses to implement architectures that efficiently manage and…

[ad_1] Amazon EMR Serverless is a deployment option for Amazon EMR that you can use to run open source big…

[ad_1] In this post, we show you how to implement real-time data ingestion from multiple Kafka topics to Apache Hudi…

[ad_1] At AWS re:Invent 2025, Amazon Web Services (AWS) announced serverless storage for Amazon EMR Serverless, a new capability that…

[ad_1] Apache Spark Connect, introduced in Spark 3.4, enhances the Spark ecosystem by offering a client-server architecture that separates the…

[ad_1] Amazon EMR runtime for Apache Spark offers a high-performance runtime environment while maintaining API compatibility with open source Apache…

[ad_1] The Amazon EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible…

[ad_1] This post shows how Amazon EMR 7.12 can make your Apache Spark and Iceberg workloads up to 4.5x faster…