Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

Microsoft's getting into the Hadoop game, and people are skeptical. Can Microsoft really embrace open source technology? And if it can, will it end up co-opting it somehow, or will it truly play nice?

In what could best be termed a photo finish, Greenplum and Aster Data Systems have both announced that they have integrated MapReduce into their massively parallel processing (MPP) database engines.

BELLEVUE, WA--(Marketwired - Oct 16, 2014) - ScaleOut Software, a leading provider of in-memory computing software, today announced the release of version 5.2 of its in-memory computing platform; ...

This implementation is intended for illustration purposes only and the examples lack exception handling acceptable for production systems. Beyond showcasing an implementation of the MapReduce concept, ...

MapReduce has captured the imagination of our researchers this week as several of them look for ways to either improve the scalability and performance of the model, or use it in ways to improve the ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day on ...

In the vast universe of IT, data is categorized as being either structured or unstructured, from a macro perspective. Generation of unstructured data is orders of magnitude higher than that generated ...