Another place where I've seen MapReduce is Nokia's QtConcurrent framework, an extremely elegant parallel programming library for Qt desktop applications. It's unclear what Google's patent will ...

Enter MapReduce, the goal of which was to provide a “trivially parallelizable framework so that even novice developers (a.k.a interns) could write programs in a variety of languages (Java/C/C++ ...

Google announced on Wednesday that the company is open sourcing a MapReduce framework that will let users run native C and C++ code in their Hadoop environments. Depending on how much traction ...

For comparison, the Hadoop framework is custom-built as MapReduce infrastructure that provides custom services, job controllers, a cartload of dedicated APIs, and a custom file system. Cool and ...

Hadoop is an open-source implementation of the MapReduce framework. It is hosted at the Apache Software Foundation along with a number of supporting software projects, including the Hadoop ...

SQL statements can make use of these views, invoking MapReduce and then adding more complex SQL processing to the MapReduce output. Greenplum also allows SQL queries to be defined as the inputs in the ...

Greenplum and Aster Data Systems will support Google's programming technique, developed for parallel processing of large data sets across commodity hardware Greenplum and Aster Data Systems, two ...