Hadoop is an open source implementation of the MapReduce programming model. Hadoop relies not on Google File System (GFS), but on its own Hadoop Distributed File System (HDFS).

Lack of multiple data source support – Current implementations of the Hadoop MapReduce programming model only support a single distributed file system; the most common being HDFS. A complete ...

Cloud and grid software provider Platform Computing has announced support for the Apache Hadoop MapReduce programming model. Close. Latest News; Artificial Intelligence; Big Data and Analytics; ...

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 ...

Hadoop in a post-MapReduce world Those familiar with MapReduce will wonder how Tez is different. Tez is a broader, more powerful framework that maintains MapReduce’s strengths while overcoming ...

The market for software related to the Hadoop and MapReduce programming frameworks for large-scale data analysis will jump from US$77 million in 2011 to $812.8 million in 2016, a compound annual ...

Google today pledged that it will not sue any users, distributors or developers who have implemented open-source versions of its MapReduce programming model for processing large data sets, even ...

In this paper, the authors have implemented an efficient MapReduce Apriori algorithm (MRApriori) based on Hadoop-MapReduce model which needs only two phases (MapReduce Jobs) to find all frequent k ...

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 ...