Spotting Big Data trends, without MapReduce As Trendspottr shows us, sometimes hardcore algorithms, even older ones, provide new breakthroughs. Written by Andrew Brust, Contributor June 4, 2012 at ...

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 ...

MapReduce is a programming model specifically implemented for processing large data sets. The model was developed by Jeffrey Dean and Sanjay Ghemawat at Google (see “MapReduce: Simplified data ...

Distributed programming models such as MapReduce enable this type of capability, but the technology was not originally designed with enterprise requirements in mind. Now that MapReduce has been ...

MapReduce: A programming model that simplifies distributed data processing by dividing tasks into map and reduce functions operating in a parallel, fault-tolerant manner.

Hadoop’s MapReduce programming model facilitates parallel processing. Developers specify a map function to process input data and produce intermediate key-value pairs.

Cloud and grid software provider Platform Computing has announced support for the Apache Hadoop MapReduce programming model.

This program will prepare you to create, develop and implement data models as well as work with big data sets using a real-world data cluster managed ... across clusters of commodity servers. Topics ...

Distributed programming models such as MapReduce enable this type of capability, but the technology was not originally designed with enterprise requirements in mind. Now that MapReduce has been ...