Publication | Closed Access
Map-reduce-merge
716
Citations
14
References
2007
Year
Unknown Venue
Cluster ComputingEngineeringMachine LearningDistributed AlgorithmsComputer ArchitectureMap-reduceParallel AlgorithmsData ScienceManagementData IntegrationVast AmountParallel ComputingData ManagementDistributed SystemsComputer ScienceData-intensive ComputingParallel Data ManagementCommodity MachinesParallel ProcessingCloud ComputingParallel ProgrammingData-level ParallelismMassive Data ProcessingBig Data
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process a vast amount of data on large clusters of commodity machines. Through a simple interface with two functions, map and reduce, this model facilitates parallel implementation of many real-world tasks such as data processing jobs for search engines and machine learning.
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