In today’s data-driven world, processing large datasets efficiently is crucial for businesses to gain insights and maintain a competitive edge. Amazon EMR is a managed big data service designed to handle these large-scale data… Article Source https://aws.amazon.com/blogs/big-data/enhance-amazon-emr-scaling-capabilities-with-application-master-placement/
In this post, we highlight key lessons learned while helping a global financial services provider migrate their Apache Hadoop clusters to AWS and best practices that helped reduce their Amazon EMR, Amazon Elastic Compute Cloud (Amazon… Article Source https://aws.amazon.com/blogs/big-data/amazon-emr-on-ec2-cost-optimization-how-a-global-financial-services-provider-reduced-costs-by-30/
Amazon EMR for Apache Spark Runtime is a performance-optimized runtime that is 100% API compatible with open-source Apache Spark. It offers faster out-of-the-box performance than Apache Spark through enhanced query plans, faster queries, and tuned defaults. This optimized runtime is utilized by Amazon EMR on EC2, Amazon EMR serverless, Amazon EMR on Amazon EKS, and … Read more
Amazon EMR Studio is now available in the Asia Pacific (Melbourne) and Israel (Tel Aviv) regions, allowing users to run interactive workloads in EMR. EMR Studio is an integrated development environment that helps data scientists and engineers develop, visualize, and debug big data and analytics applications in PySpark, Python, Scala, and R. The IDE provides … Read more
The latest release of Amazon EMR now integrates with AWS HealthOmics, making it easier to analyze large-scale genomic variant data. HealthOmics Analytics provides tabular access to genetic variant data sets and annotations, allowing researchers and data scientists to uncover valuable insights through Amazon Athena queries and EMR jobs. EMR offers a flexible big data platform … Read more