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Big Data and Hadoop Computational Challenges- A Comparison Study

Mamoon Rashid1 , Mir Aamir2 , Balwant Ram3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 1446-1452, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.14461452

Online published on Jul 31, 2018

Copyright © Mamoon Rashid, Mir Aamir, Balwant Ram . 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: Mamoon Rashid, Mir Aamir, Balwant Ram, “Big Data and Hadoop Computational Challenges- A Comparison Study,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1446-1452, 2018.

MLA Style Citation: Mamoon Rashid, Mir Aamir, Balwant Ram "Big Data and Hadoop Computational Challenges- A Comparison Study." International Journal of Computer Sciences and Engineering 6.7 (2018): 1446-1452.

APA Style Citation: Mamoon Rashid, Mir Aamir, Balwant Ram, (2018). Big Data and Hadoop Computational Challenges- A Comparison Study. International Journal of Computer Sciences and Engineering, 6(7), 1446-1452.

BibTex Style Citation:
@article{Rashid_2018,
author = {Mamoon Rashid, Mir Aamir, Balwant Ram},
title = {Big Data and Hadoop Computational Challenges- A Comparison Study},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {1446-1452},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2625},
doi = {https://doi.org/10.26438/ijcse/v6i7.14461452}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.14461452}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2625
TI - Big Data and Hadoop Computational Challenges- A Comparison Study
T2 - International Journal of Computer Sciences and Engineering
AU - Mamoon Rashid, Mir Aamir, Balwant Ram
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 1446-1452
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

Big Data refers that data which cannot be stored and processed efficiently by traditional techniques. Storage and processing of big data is a real challenge. To solve the big data problem, Hadoop provide an optimum framework. Hadoop framework is based on java and it can process data in large quantities. It is able to process unstructured data as well and that too in a distributed manner. In this paper, the authors have studied different dimensions of Big Data and tried to provide the comparison study existing between the resource findings related to it. The authors have further highlighted the various challenges where researchers need to put focus to enhance functionality and power of Big Data Computation.

Key-Words / Index Term

Big Data, Hadoop, HDFS, Map Reduce, Security

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