Category: Amazon EMR

My colleagues Jon Fritz and Abhishek Sinha are both Senior Product Managers on the 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; is a managed service that simplifies running and managing distributed data processing frameworks, […]

My colleague Jon Fritz wrote the guest post below to introduce a powerful new feature for . We updated it on May 16, 2017 in order to describe some new console features and to account for the availability of Spark 2.0. — Jeff; I’m happy to announce that Amazon EMR now supports Apache Spark. Amazon […]

Amazon Elastic MapReduce (EMR) accelerates big data analytics. It provides instant scalability and elasticity, letting you focus on analytics instead of infrastructure for your data-intenstive projects. Whether you are indexing large data sets or analyzing massive amounts of scientific data or processing clickstream logs, EMR simplifies running Hadoop and related big data applications on AWS.  When analyzing […]

We’ve updated Amazon Elastic MapReduce with support for the latest and greatest versions of the following components: Hadoop 0.20 Hive 0.5 Pig 0.6 The new version of Hadoop includes the following enhancements: MultipleInputs class for reading multiple types of data.  MultipleOutputs class for writing multiple types of data. ChainMapper and ChainReducer which allows users to […]