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 performance and scalability – Current implementations of the Hadoop MapReduce programming model do not provide a fast, scalable distributed resource management solution fundamentally limiting ...

Platform Computing offers a distributed analytics platform that is fully compatible with the Apache Hadoop MapReduce programming model and allows current MapReduce applications to easily move to ...

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’s MapReduce programming model facilitates parallel processing. Developers specify a map function to process input data and produce intermediate key-value pairs.

RRE7 includes a library of R algorithms that can be run in parallel across multiple nodes, which is how Hadoop manages large data sets. RRE 7 can be added to the Cloudera CDH3 and CDH4 Hadoop ...

In its eBook about understanding big data, IBM states: "Hadoop is generally seen as having two parts: a file system (the Hadoop Distributed File System) HDFS and a programming paradigm (MapReduce).

Likewise, Hadoop Streaming allows developers to use virtually any programming language to create MapReduce jobs. And just like CGI, it’s a bit of a kludge. It works, but it ain’t pretty.

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 ...

Lack of performance and scalability – Current implementations of the Hadoop MapReduce programming model do not provide a fast, scalable distributed resource management solution fundamentally limiting ...