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.

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 ...

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 ...

The underlying programming model for MapReduce has been revamped and has changed quite a bit. Chuck Lam, the author of Hadoop in Action Benefits that keep getting better include high levels of ...

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 ...

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 ...

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.