AWS News Blog
Category: Amazon EMR
Amazon EMR 5.0.0 – Major App Updates, UI Improvements, Better Debugging, and More
The Amazon EMR team has been cranking out new releases at a fast and furious pace! Here’s a quick recap of this year’s launches: EMR 4.7.0 – Updates to Apache Tez, Apache Phoenix, Presto, HBase, and Mahout (June). EMR 4.6.0 – HBase for realtime access to massive datasets (April). EMR 4.5.0 – Updates to Hadoop, […]
Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps
Amazon EMR allows you to quickly and cost-effectively process vast amounts of data. Since the 2009 launch, we have added many new features and support for an ever-increasing roster of applications from the Hadoop ecosystem. Here are a few of the additions that we have made this year: April – Support for Apache HBase 1.2 […]
Amazon EMR Update – Apache HBase 1.2 Is Now Available
Apache HBase is a distributed, scalable big data store designed to support tables with billions of rows and millions of columns. HBase runs on top of Hadoop and HDFS and can also be queried using MapReduce, Hive, and Pig jobs. AWS customers use HBase for their ad tech, web analytics, and financial services workloads. They […]
Amazon EMR 4.4.0 – Sqoop, HCatalog, Java 8, and More
Rob Leidle, Development Manager for Amazon EMR, wrote the guest post below to introduce you to the latest and greatest version! — Jeff; Today we are announcing Amazon EMR release 4.4.0, which adds support for Apache Sqoop (1.4.6) and Apache HCatalog 1.0.0, an upgraded release of Apache Mahout (0.11.1), and upgraded sandbox releases for Presto […]
Amazon EMR Update – Support for EBS Volumes, and M4 & C4 Instance Types
My colleague Abhishek Sinha wrote the guest post below to tell you about the latest additions to Amazon EMR. — Jeff; Amazon EMR is a service that allows you to use distributed data processing frameworks such as Apache Hadoop, Apache Spark and Presto to process data on a managed cluster of EC2 instances. Newer versions […]
EMR 4.3.0 – New & Updated Applications + Command Line Export
My colleague Jon Fritz wrote the blog post below to introduce you to some new features of Amazon EMR. — Jeff; Today we are announcing Amazon EMR release 4.3.0, which adds support for Apache Hadoop 2.7.1, Apache Spark 1.6.0, Ganglia 3.7.2, and a new sandbox release for Presto (0.130). We have also enhanced our maximizeResourceAllocation […]
New – Launch Amazon EMR Clusters in Private Subnets
My colleague Jon Fritz wrote the guest post below to introduce you to an important new feature for Amazon EMR. — Jeff; Today we are announcing that Amazon EMR now supports launching clusters in Amazon Virtual Private Cloud (VPC) private subnets, allowing you to quickly, cost-effectively, and securely create fully configured clusters with Hadoop ecosystem […]
Amazon EMR Release 4.1.0 – Spark 1.5.0, Hue 3.7.1, HDFS Encryption, Presto, Oozie, Zeppelin, Improved Resizing
My colleagues Jon Fritz and Abhishek Sinha are both Senior Product Managers on the EMR team. They wrote the guest post below to introduce you to the newest release of EMR and to tell you about new EMR cluster resizing functionality. — Jeff; Amazon EMR is a managed service that simplifies running and managing distributed […]