The Apache Software Foundation unveiled its latest release of its open source data processing program, Hadoop 2. It runs multiple applications simultaneously to enable users to quickly and ...

While MapReduce is proprietary technology, the Apache Foundation has implemented its own open source map-reduce framework, called Hadoop.

The Hadoop community recently promoted YARN-- the next-gen Hadoop data processing framework -- to the status of "sub-project" of the Apache Hadoop Top Level Project. The promotion puts YARN on the ...

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 ...

For users who prefer to start their learning with a document rather than a video, Cloudera’s Hadoop Tutuorial describes the user-facing facets of the Apache Hadoop MapReduce framework.

Interest in Apache Spark surpassed Apache Hadoop for the first time last month, according to Google Trends. While it’s not a definitive statement of Spark’s actual impact on big data processing in the ...

Concurrent says Cascading 3.0 will support local in-memory, Apache MapReduce and Apache Tez out of the gate with support for Apache Spark and Apache Storm soon to follow.

Google's patent on MapReduce could potentially pose a problem for those using third-party open source implementations. Patent #7,650,331, which was granted to Google on Tuesday, defines a system ...

Apache also refers to YARN as MapReduce Version 2. It retains API compatibility with the previous version, and applications written for MapReduce will run on YARN if recompiled, the foundation said.