MapReduce has been widely recognized as an efficient tool for large-scale data analysis. It achieves high performance by exploiting parallelism among processing nodes while providing a simple ...

large volumes of data into useful aggregated results. For mapreduce operations, MongoDB provides the mapReduce database command. • Consider the following map-reduce operation: MapReduce: Map-Reduce: ...

In what could best be termed a photo finish, Greenplum and Aster Data Systems have both announced that they have integrated MapReduce into their massively parallel processing database engines.

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 introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

Two database vendors have integrated Google's MapReduce parallel processing framework.

Meanwhile, Greenplum, maker of a database it says can scale to a petabyte of information, said this week that a MapReduce framework will be part of its dataflow engine as of September.