Spotting Big Data trends, without MapReduce Big Data is not always about Hadoop, and it's not always about new technologies.

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

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 ...

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

About MapReduce 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 ...

Extracting business value from the ‘big data’ contained in these unstructured, distributed file systems is becoming increasingly important. Distributed programming models such as MapReduce enable this ...

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

Aster Data Systems extends its functionality to allow Microsoft .NET application developers to write applications in MapReduce. With the update to the Aster nCluster product line, database ...

Extracting business value from the ‘big data’ contained in these unstructured, distributed file systems is becoming increasingly important. Distributed programming models such as MapReduce enable this ...