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Tagged MapReduce: Efficiently Computing Multi-analytics Using MapReduce
2011MapReduce is a programming paradigm for effective processing of large datasets in distributed environments, using the map and reduce functions. The map process creates (key, value) pairs, while the reduce phase aggregates same-key values. In other words, a MapReduce application defines and reduces one set of values for each key, which means that the ...
Andreas Williams +2 more
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2013
From automatically translating documents to analyzing electoral voting patterns; from computing personalized movie recommendations to predicting flu epidemics: all of these tasks are possible due to the success and proliferation of the MapReduce parallel programming paradigm.
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From automatically translating documents to analyzing electoral voting patterns; from computing personalized movie recommendations to predicting flu epidemics: all of these tasks are possible due to the success and proliferation of the MapReduce parallel programming paradigm.
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Incremental MapReduce Computations
2006Distributed processing of large data sets is an area that received much attention from researchers and practitioners over the last few years. In this context, several proposals exist that leverage the observation that data sets evolve over time, and as such there is often a substantial overlap between the input to consecutive runs of a data processing ...
Bhatotia, Pramod +3 more
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2019
This chapter introduces you to MapReduce programming. You will see how functional abstraction lead to real-life implementation. There are two key technical solutions that enable the use of map and reduce functions in practice for parallel processing of big data.
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This chapter introduces you to MapReduce programming. You will see how functional abstraction lead to real-life implementation. There are two key technical solutions that enable the use of map and reduce functions in practice for parallel processing of big data.
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Analysis of hadoop MapReduce scheduling in heterogeneous environment
Ain Shams Engineering Journal, 2021Neeraj Gupta
exaly