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 ...

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.

An enterprise-class implementation of the MapReduce programming model, and scalable run-time environment is desired in order to meet IT customer expectations. A more capable MapReduce solution should: ...

But now that we are all swimming in Big Data, MapReduce implemented on Hadoop is being packaged as a way for the rest of the world to get the power of this programming model and parallel computing ...

Google today pledged that it will not sue any users, distributors or developers who have implemented open-source versions of its MapReduce programming model for processing large data sets, even ...

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

SAN DIEGO-Data analytics infrastructure provider Teradata, which released its first Aster Data-based database and a new MapReduce “big data” implementation two weeks ago, announced Oct. 3 that ...

The MapReduce programming model that accesses and analyses data in HDFS can be difficult to learn and is designed for ... The previous 72-minute record was set by Hadoop MapReduce using 2,100 ...

An enterprise-class implementation of the MapReduce programming model, and scalable run-time environment is desired in order to meet IT customer expectations. A more capable MapReduce solution should: ...