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A Review Paper on Big Data with comparative analysis of Hadoop

Priya 1

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 257-261, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.257261

Online published on Jan 31, 2019

Copyright © Priya . 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: Priya, “A Review Paper on Big Data with comparative analysis of Hadoop,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.257-261, 2019.

MLA Style Citation: Priya "A Review Paper on Big Data with comparative analysis of Hadoop." International Journal of Computer Sciences and Engineering 7.1 (2019): 257-261.

APA Style Citation: Priya, (2019). A Review Paper on Big Data with comparative analysis of Hadoop. International Journal of Computer Sciences and Engineering, 7(1), 257-261.

BibTex Style Citation:
@article{_2019,
author = {Priya},
title = {A Review Paper on Big Data with comparative analysis of Hadoop},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {257-261},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3493},
doi = {https://doi.org/10.26438/ijcse/v7i1.257261}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.257261}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3493
TI - A Review Paper on Big Data with comparative analysis of Hadoop
T2 - International Journal of Computer Sciences and Engineering
AU - Priya
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 257-261
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

Big data is the complete data that is generated by human beings in daily life. Data is gathered from various sources and thus made useful for people by preprocessing it. For processing such huge amount of data (i.e. in terabytes and petabytes), specialized hardware and software is required. Thus, to store, manage, and process the increasing amount of data is really a challenging area of research and development in big data analysis. The objective of this paper is to explore the impact, challenges, architecture of big data and various tools associated with it. This paper also provides a comparative study of Hadoop distributed file system and traditional database and a platform to explore it at various stages

Key-Words / Index Term

Hadoop, HDFS, Challenges, Big Data Analysis

References

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