Algorithms Using Map Reduce-a Survey
نویسندگان
چکیده
Despite increasing data volumes much faster than compute power. This growth demands new strategies for processing and analyzing information. Organizations are determining that significant forecasting can be through sorting and analyze Big Data. Ever since a large amount of data is "amorphous", it should be structured in a manner which is appropriate for mining and succeeding analysis. Hadoop helps in structuring Big Data, and solves with solution for analytics purposes. Hadoop exploits a technique called MapReduce to carry out this extensive analysis rapidly. In this paper, we provide an extensive survey of MapReduce the popular open-source implementation Hadoop which can be obtained, while highlighting the various algorithms and computing selection by Map Reduce. We conclude the paper with a critical analysis of challenges that have not yet been fully met.
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