MapReduce edit  

A data transformation and aggregation technology proven at extreme scale that works on key value pairs and consists of three transformation stages - map (a general transformation of the input key value pairs), shuffle (brings all pairs with the same key together) and reduce (an aggregation of all pairs with the same key). Part of the original Hadoop code base, becoming an Apache Hadoop sub-project in July 2009.

Technology Information

Type	Sub-Project
Parent Project	Apache Hadoop
Last Updated	December 2016

Related Technologies

Is packaged by

MapR Converged Data Platform, Cloudera Altus Data Engineering

Links

• http://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html - MapReduce tutorial and documentation
• https://hortonworks.com/apache/mapreduce/ - Hortonworks information
• https://www.cloudera.com/products/open-source/apache-hadoop/hdfs-mapreduce-yarn.html - Cloudera information

Blog Posts

• Apache Hadoop 2016-12-16 Technologies Hadoop HDFS YARN MapReduce Apache Peter