Apache Hadoop 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).

The Hadoop programming framework may be synonymous with the "big data" movement but it's not the only tool companies need to derive insights from massive stores of unstructured information ...

Hadoop rises and becomes stronger with native R programming support - SiliconANGLEAccording to Revolution Analytics, by analyzing the data within the node in which it resides, rather than moving ...

Apache's Hadoop is an open source project that implements a Java-based, Map/Reduce parallel programming paradigm. It is designed to scale to very large clusters with thousands of nodes and ...

Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...

Apache Hadoop has been the driving force behind the growth of the big data industry. But what does it do, and why do you need all its strangely-named friends, such as Oozie, Zookeeper and Flume?

But the most important difference that Spark makes to a development team’s work is the convenience of its programming model. It offers a simple programming API with powerful idioms for common data ...

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 ...

With Hadoop, you build data-crunching programs using the venerable Java programming language, but Spark also embraces Python and Scala, a newer language designed specifically for applications that ...

A Microsoft roadmap slide sheds some additional details on the scope of the work the company is doing to integrate Hadoop with Windows Azure and Windows Server.