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 ...

Google announced last week the release of open source MapReduce framework for C, called MR4C, that allows developers to run native code in Hadoop framework. MR4C framework brings together the ...

Hadoop 2.0 makes MapReduce less compulsory and the distributed file system more reliable.

RainStor Big Data Analytics on Hadoop addresses some of the big problems with Hadoop, namely the complexity of interacting with it, the time it takes to run MapReduce jobs on large datasets and ...

Our last post presented an analogy for MapReduce. In this post, we layer real MapReduce vocabulary over the example to help decode the jargon that sometimes blocks understanding of Big Data.

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 ...

Only 20,000 or so of the big beasts still exist in the wild. They’re IBM mainframes, and despite the scorn of a legacy label, they continue to run critical processes companies simply don’t trust to ...