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 ...

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.

Enter Apache Hadoop, an open-source framework designed to handle massive datasets with ease. In this article, ... (HDFS) and the MapReduce programming model.

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; ...

Hadoop Streaming allows developers to use virtually any programming language to create MapReduce jobs, but it’s a bit of a kludge. The MapReduce programming environment needs to be pluggable.

In this video, Ken Hertzler and Scott Campbell from Platform Computing announce the company’s new support for MapReduce. “Platform Computing offers a distributed analytics platform that is fully ...

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 ...

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 ...