Map Reduce
MapReduce is a programming model for processing large data sets, and the name of an implementation of the model by Google. MapReduce is typically used to do distributed computing on clusters of computers.
The model is inspired by the map and reduce functions commonly used in functional programming, although their purpose in the MapReduce framework is not the same as their original forms.
MapReduce libraries have been written in many programming languages. A popular free implementation is Apache Hadoop.
Read more about Map Reduce: Overview, Logical View, Dataflow, Distribution and Reliability, Uses, Criticism, Conferences and Users Groups
Famous quotes containing the words map and/or reduce:
“When I had mapped the pond ... I laid a rule on the map lengthwise, and then breadthwise, and found, to my surprise, that the line of greatest length intersected the line of greatest breadth exactly at the point of greatest depth.”
—Henry David Thoreau (1817–1862)
“The more we reduce ourselves to machines in the lower things, the more force we shall set free to use in the higher.”
—Anna C. Brackett (1836–1911)