Amazon Elastic MapReduce (EMR)

• Mocagon: Data-Execution area, Internet scope [AWS Poster]

• Full-name: Amazon Elastic MapReduce

• Short-name: Amazon EMR

• Provides: distributed data processing

• Resource: cluster

• Year: 2009

• Home: https://aws.amazon.com/emr/

Products that are often seen with Amazon EMR, descending order of frequency:

Products that are related in Moca:

• 2020/06/25: Amazon EMR uses real-time capacity insights to provision spot instances to lower cost and interruption

• 2020/06/15: EMR Console Access to Persistent YARN Timeline Server and Tez UI

• 2020/06/04: Now Install Custom Kernels and Data Science Libraries on EMR clusters directly from EMR Notebooks

• 2020/04/29: Amazon EMR announces support for running clusters with Amazon EC2 Spot Instances in the AWS GovCloud (US) Regions

• 2020/04/09: Amazon EMR announces EMR release 6.0.0 with new major versions of Hadoop, Hive, HBase, Amazon Linux 2, and support for Docker

• 2020/04/09: Amazon EMR is now available in the AWS Local Zone in Los Angeles

• 2019/12/18: Amazon EMR now supports AWS PrivateLink

• 2019/12/03: Amazon EMR is now available in your data center with AWS Outposts

• 2019/11/26: Amazon EMR 6.0 (Beta 2) adds Hive 3 with LLAP support, and Scala 2.12 with Spark 2.4.4

• 2019/11/26: Amazon EMR now allows you to run multiple steps in parallel, cancel running steps, and integrate with AWS Step Functions

• 2019/11/19: AWS Step Functions adds Amazon EMR service integration

• 2019/11/18: Announcing EMR Runtime for Apache Spark

• 2019/11/15: Support record-level insert, update, and delete on Amazon S3 with Amazon EMR

• 2019/11/06: Amazon EMR Announces One-Click Access to Persistent Spark History Server

• 2019/10/30: Amazon EMR announces support for Git-based repositories and JupyterLab with EMR Notebooks

• 2019/10/16: Amazon EMR Adds Support for Spark 2.4.4, Flink 1.8.1, and the Ability to Reconfigure Multiple Master Nodes

• 2019/09/06: Simplify your Spark application dependency management with Docker and Hadoop 3 with EMR 6.0.0 (Beta)

• 2019/08/27: Achieve up to 16x better Spark performance with Amazon EMR release 5.26.0

• 2019/08/20: Amazon EMR announces support for runtime installation of external libraries with EMR Notebooks

• 2019/08/20: Amazon EMR introduces Block Public Access Configuration to secure EMR clusters from unintentional network exposure.

• 2019/08/09: Amazon EMR Integration With AWS Lake Formation Is Now In Beta, Supporting Database, Table, and Column-level access controls for Apache Spark

• 2019/08/08: Amazon EMR now supports native EBS encryption

• 2019/08/06: Now Launch AWS Glue, Amazon EMR, and AWS Aurora Serverless Clusters in Shared VPCs

• 2019/08/01: Achieve 3x better Spark performance with EMR 5.25.0

• 2019/05/13: Amazon EMR now supports Multiple Master nodes to enable High Availability for HBase clusters

• 2019/05/01: Amazon EMR announces Support for Multiple Master nodes to enable High Availability for EMR applications

• 2019/05/01: Amazon EMR announces Support for Reconfiguring Applications on Running EMR Clusters

• 2019/04/09: Announcing EMR release 5.22.0: Support for new versions of HBase, Oozie, Flink, and optimized EBS configuration for improved IO performance for applications such as Spark

• 2019/03/11: Support for Flink 1.7.0 on Amazon EMR release 5.21.0

• 2019/01/28: Now bring your own KDC and enable Kerberos authentication in Amazon EMR