When your data and work grow, and you still want to produce results in a timely manner, you start to think big. Your one beefy server reaches its limits. You need a way to spread your work across many ...

Hadoop 101: Simplifying MapReduce Development Once the user begins developing MapReduce applications, another set of challenges emerge. Users have to make several design choices which materially ...

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, ...

Having worked on Hadoop since day one in 2006, Hortonworks co-founder Arun Murthy is clear about the significance of the latest version of the open-source big-data technology. "Hadoop 2 is a big step.

What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

Reporting and analysis drives businesses in making the best possible decisions. The source of all these decisions is the data. There are two types of data: structured and unstructured. Most recently, ...

Yahoo researchers create the longest pi yet -- and hint at the cloud's potential for highly intense and complex computation Last week, a team of Yahoo researchers creating a long version of pi set a ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.