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, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...

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 MapReduce has been widely embraced for analyzing large, static data sets. New technology integrates a stand-alone MapReduce engine into an in-memory data grid, enabling real-time analytics on ...

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.

There are also videos introducing clusters, mirrors and snapshots and one on enterprise Hadoop. Users can also submit videos from YouTube. This isn’t a certification program, and though these videos ...

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 ...

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 ...

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 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 ...