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 ...

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.

Hadoop is the most significant concrete technology behind the so called 'Big Data' revolution. Hadoop combines an economical model for storing massive quantities of data - the Hadoop Distributed File ...

Based on Hadoop, MapReduce equips users with potent distributed data-processing tools Bottom Line You’ll want to be familiar with the Apache Hadoop framework before you jump into Elastic MapReduce.

Platform Computing, a provider of cluster, grid and cloud management software, has announced support for the Apache Hadoop MapReduce programming model to bring enterprise-class distributed computing ...

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

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

Big Data is not always about Hadoop, and it's not always about new technologies. As Trendspottr shows us, sometimes hardcore algorithms, even older ones, provide new breakthroughs.

Google's patent on MapReduce could potentially pose a problem for those using third-party open source implementations. Patent #7,650,331, which was granted to Google on Tuesday, defines a system ...