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 ...

Lack of performance and scalability – Current implementations of the Hadoop MapReduce programming model do not provide a fast, scalable distributed resource management solution fundamentally limiting ...

Lack of performance and scalability – Current implementations of the Hadoop MapReduce programming model do not provide a fast, scalable distributed resource management solution fundamentally limiting ...

Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...

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

Release 15.4 of the analytic database will feature support for the MapReduce and Hadoop programming frameworks for large-scale data processing Sybase is hoping its IQ analytic database can make ...

Amazon launches Hadoop data-crunching service Customers can use MapReduce to pay by the sip as they do things like index the Web, mine data, and conduct financial analysis or bioinformatics research.

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.