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 ...

The inspiration for Hadoop came from Google's work on MapReduce, a programming model for distributed computing—a way to allow big data to be stored and accessed on multiple server computers.

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.

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 ...

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.

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 ...

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 ...

Platform Computing offers a distributed analytics platform that is fully compatible with the Apache Hadoop 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 ...