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 ...

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 ...

A recent article on the Database Column by David J. DeWitt and Michael Stonebraker attempts to compare the increasingly popular MapReduce programming paradigm to a relational database. The ...

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

The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

The core components of Apache Hadoop are the Hadoop Distributed File System (HDFS) and the MapReduce programming model.