MapReduce in Hadoop 2.0, by the way, is sometimes referred to as MapReduce 2.0, other times as MRv2 and, in still different circles, as YARN (Yet Another Resource Negotiator).

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 ...

Service multiple MapReduce users and lines of businesses, as well as potentially other distributed processing needs. Provide flexibility to choose the right storage/file system, based on the specific ...

And, the implementation of MapReduce in Hadoop is not infinitely scalable—a limit of around 4,000 machines has been observed. In response to these concerns, a group at Yahoo! designed a ...

Hunk is a relatively new product from Splunk for exploring and visualizing Hadoop and other NoSQL data stores. New in this release is support for Amazon’s Elastic MapReduce.

While MapReduce is proprietary technology, the Apache Foundation has implemented its own open source map-reduce framework, called Hadoop.

Hadoop in a post-MapReduce world Those familiar with MapReduce will wonder how Tez is different. Tez is a broader, more powerful framework that maintains MapReduce’s strengths while overcoming ...

Google announced last week the release of open source MapReduce framework for C, called MR4C, that allows developers to run native code in Hadoop framework. MR4C framework brings together the ...

To many, Big Data goes hand-in-hand with Hadoop + MapReduce. But MPP (Massively Parallel Processing) and data warehouse appliances are Big Data technologies too. The MapReduce and MPP worlds have ...

Google's MapReduce patent raises some troubling questions for software like Hadoop, but it looks unlikely that Google will assert the patent in the near future; Google itself uses Hadoop for its ...