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Paper Title
Analysis of MapReduce Methods
Authors
Ms. Rohini Kharbade , Prof. Manish B. Gudadhe
Keywords
MapReduce, Big Data, Hadoop
Abstract
As the uses of social media networking platforms increasing hence, huge volume of data is generated with that it required large amount of memory for storing the data. Since, there are some issues like storing the large data set, parallel and distributed large data set also including some challenges like critical path problem, reliability problem, equal split issues, single split issues and aggregation of issues. Hence, to overcome this problem we have MapReduce method which allows us to use parallel computations, distributed processing without considering issues like fault tolerance and reliability. For such reasons, this survey paper mentioned the various implementation methods of MapReduce and also, comparison between various implementation methods with respect to the volume and variety.
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IJRTI — journal style
"Analysis of MapReduce Methods", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.5, Issue 3, page no.58 - 62, March-2020, Available :https://ijrti.org/papers/IJRTI2003011.pdf
APA — 7th edition
Kharbade, R., & Gudadhe, M. B. (2020). Analysis of MapReduce Methods. International Journal for Research Trends and Innovation, 5(3), 58 - 62. https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011
MLA — 9th edition
Kharbade, Rohini, and Manish B. Gudadhe. "Analysis of MapReduce Methods." International Journal for Research Trends and Innovation, vol. 5, no. 3, 2020, pp. 58 - 62, https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011.
Chicago — 17th, bibliography
Kharbade, Rohini, and Manish B. Gudadhe. "Analysis of MapReduce Methods." International Journal for Research Trends and Innovation 5, no. 3 (2020): 58 - 62. https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011.
Harvard — author–date
Kharbade, R. and Gudadhe, M.B. (2020) 'Analysis of MapReduce Methods', International Journal for Research Trends and Innovation, 5(3), pp. 58 - 62. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011
IEEE — numbered reference
R. Kharbade and M. B. Gudadhe, "Analysis of MapReduce Methods," IJRTI, vol. 5, no. 3, pp. 58 - 62, Mar. 2020.
Vancouver — biomedical
Kharbade R, Gudadhe MB. Analysis of MapReduce Methods. IJRTI. 2020 Mar;5(3):58 - 62.
AMA — 11th edition
Kharbade R, Gudadhe MB. Analysis of MapReduce Methods. IJRTI. 2020;5(3):58 - 62. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2003011,
author = {Rohini Kharbade and Manish B. Gudadhe},
title = {Analysis of MapReduce Methods},
journal = {International Journal for Research Trends and Innovation},
volume = {5},
number = {3},
pages = {58 - 62},
year = {2020},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Kharbade, Rohini
AU - Gudadhe, Manish B.
TI - Analysis of MapReduce Methods
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 5
IS - 3
PY - 2020
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011
SP - 58
EP - 62
ER -
Issue
Volume 5 Issue 3,
March-2020
Pages : 58 - 62
Other Publication Details
Paper Reg. ID
IJRTI_181193
Published Paper ID
IJRTI2003011
Downloads
205,634
Research Area
Engineering
Country
Nagpur, Maharashtra, India
Published
March 2020
Published Paper PDF
https://ijrti.org/papers/IJRTI2003011.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2003011
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
