A Tutorial for Hadoop and Map Reduce in Java - SiliconANGLEThe code implements a dictionary translation by taking a series of compiled dictionaries (English-Spanish, English-Italian, English ...

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

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 ...

Hadoop 2.0 makes MapReduce less compulsory and the distributed file system more reliable.

Distributed programming models such as MapReduce enable this type of capability, but the technology was not originally designed with enterprise requirements in mind. Now that MapReduce has been ...

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.

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 ...

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 ...

The next generation of Apache Hadoop, the software implementation that allows batch processing of petabytes of data, is expected out this year, says a Yahoo executive. Todd Papaioannou, vice ...

Commercial vendors have embraced Hadoop. IBM, for example, has several applications, including an analytics service, running on Hadoop. IBM and Google teamed in 2007 to offer university courses about ...