Axceleon, a leader in high performance cloud computing solutions for render farms, computational grids and cloud environments announces its new capability to run map reduce tasks. Online, September 24 ...

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, ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

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 ...

When some IT pros encounter Big Data, they think of big-name IT vendors. Others think of Google. They reckon a company that does a fantastic job searching the Web must know something about managing ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

Amazon announced the release of Elastic MapReduce (EMR) 5.0.0 today, which includes, among other things, support for 16 open source Hadoop projects. As AWS continues to hone its various tools to help ...

Hadoop has been known as MapReduce running on HDFS, but with YARN, Hadoop 2.0 broadens pool of potential applications Hadoop has always been a catch-all for disparate open source initiatives that ...

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 ...

Have you ever wondered how Google, Facebook and other Internet giants process their massive workloads? Billions of requests are served every day by the biggest players on the Internet, resulting in ...