Hadoop MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...

In earlier versions, Platfora’s software would generate batch-oriented MapReduce jobs to do the grunt work of finding patterns in the data, and used interactive SQL queries using the Hive engine for ...

Hadoop Streaming allows developers to use virtually any programming language to create MapReduce jobs, but it’s a bit of a kludge. The MapReduce programming environment needs to be pluggable.

MapReduce is a distributed programming model intended for parallel processing of massive amounts of data. This article describes a MapReduce implementation built with off-the-shelf, open-source ...

MapReduce in Hadoop 2.0, by the way, is sometimes referred to as MapReduce 2.0, other times as MRv2 and, in still different circles, as YARN (Yet Another Resource Negotiator). Cloudera's take ...