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Hadoop Mapreduce Outline in Big Figures Analytics

M. Dhivya1 , D. Ragupathi2 , V.R. Kumar3

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-9 , Page no. 100-104, Sep-2014

Online published on Oct 04, 2014

Copyright © M. Dhivya, D. Ragupathi, V.R. Kumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Dhivya, D. Ragupathi, V.R. Kumar, “Hadoop Mapreduce Outline in Big Figures Analytics,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.9, pp.100-104, 2014.

MLA Style Citation: M. Dhivya, D. Ragupathi, V.R. Kumar "Hadoop Mapreduce Outline in Big Figures Analytics." International Journal of Computer Sciences and Engineering 2.9 (2014): 100-104.

APA Style Citation: M. Dhivya, D. Ragupathi, V.R. Kumar, (2014). Hadoop Mapreduce Outline in Big Figures Analytics. International Journal of Computer Sciences and Engineering, 2(9), 100-104.

BibTex Style Citation:
@article{Dhivya_2014,
author = {M. Dhivya, D. Ragupathi, V.R. Kumar},
title = {Hadoop Mapreduce Outline in Big Figures Analytics},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2014},
volume = {2},
Issue = {9},
month = {9},
year = {2014},
issn = {2347-2693},
pages = {100-104},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=262},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=262
TI - Hadoop Mapreduce Outline in Big Figures Analytics
T2 - International Journal of Computer Sciences and Engineering
AU - M. Dhivya, D. Ragupathi, V.R. Kumar
PY - 2014
DA - 2014/10/04
PB - IJCSE, Indore, INDIA
SP - 100-104
IS - 9
VL - 2
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

Framework, HDFS, Mapreduce, Shuffle, Workflow

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