Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

Hadoop just gained a new tool. The company Revolution Analytics (RA) modified its package for statistical analysis of Revolution R Enterprise 7 (RRE 7), so that the R language can also be used for ...

Hadoop has been widely embraced for its ability to economically store and analyze large data sets. Using parallel computing techniques like MapReduce, Hadoop can reduce long computation times to hours ...

Today's enterprises are looking to go beyond batch processing and integrate existing applications with Hadoop to realize the benefits of real-time processing and interactive query capabilities.

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 ...

The expanded Hortonworks Certified Technology Program is designed to address the breadth and depth of capabilities available to integrate with and accelerate the growth of a vibrant Apache Hadoop ...

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 its ...

Apache Hadoop has been the driving force behind the growth of the big data industry. You'll hear it mentioned often, along with associated technologies such as Hive and Pig. But what does it do, and ...

Apache's open source, Java-based Hadoop project implements the Map/Reduce paradigm. It is designed to be highly scalable. Apache's Hadoop is an open source project that implements a Java-based, ...

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, according ...