Hadoop Mapreduce Outline in Big Figures Analytics

Authors

  • M Dhivya Department of Computer Science, AVVM Sri Pushpam College, Bharathidasan University, India
  • D Ragupathi Department of Computer Science, AVVM Sri Pushpam College, Bharathidasan University, India
  • V Raj Kumar R and D of Computer Science, STEPINFOTECH, India

Keywords:

Framework, HDFS, Mapreduce, Shuffle, Workflow

Abstract

As Hadoop is a Substantial scale, exposed basis software design scheme dedicated to adaptable, disseminated, info concentrated processing. Hadoop [1] mapreduce is a software design construction for professionally composing requisitions which prepare boundless events of info (multi-terabyte info sets) in parallel on extensive bunches (many hubs) of merchandise fittings in a dependable, shortcoming tolerant way. A mapreduce [6] skeleton comprises of two parts. They are "mapper" and "reducer" which consume remained inspected in this paper. Fundamentally this newspaper saves tabs on mapreduce adapting model, preparation undertakings, overseeing and re-execution of the fizzled assignments. Workflow of mapreduce is designated in this exchange.

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Published

2014-09-30

How to Cite

[1]
M. Dhivya, D. Ragupathi, and V. Raj Kumar, “Hadoop Mapreduce Outline in Big Figures Analytics”, Int. J. Comp. Sci. Eng., vol. 2, no. 9, pp. 100–104, Sep. 2014.

Issue

Section

Research Article