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Amazon Athena and EMR Release notes from AWS

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Amazon EMR Serverless now supports IPv6 and dual-stack connectivity

Amazon EMR Serverless now supports IPv6 and dual-stack connectivity, expanding beyond the IPv4-only connectivity that was previously available. You can now run your Apache Spark and Apache Hive jobs over IPv6 in your Amazon Virtual Private Cloud (VPC) by supplying dual-stack (IPv4 and IPv6) or IPv6-only subnets.

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Serverless Storage on Amazon EMR Serverless now supports terabyte-scale shuffle

Amazon EMR Serverless now offers enhanced serverless storage capabilities with support for up to 1TB shuffle operations, raising the previous 200 GB per-job limit. Amazon EMR Serverless makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

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Amazon EMR on EKS now supports IPv6 Amazon EKS clusters

Today, AWS announces that Amazon EMR on EKS now supports running workloads on IPv6 Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Amazon EMR on EKS enables data platform and analytics teams to run open-source big data frameworks such as Apache Spark and Apache Flink on Amazon EKS.

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Amazon EMR 7.14 is now available

Amazon EMR 7.14 is now available with new features across Amazon EMR on EC2, Amazon EMR on EKS, and Amazon EMR Serverless, along with version upgrades for additional applications. This release also upgrades Apache Spark to 3.5.8 and Apache Iceberg to 1.10.1.

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