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Big Data Security: Biggest Challenges, Analytics and Use cases

A. Antony Prakash1

Section:Review Paper, Product Type: Journal-Paper
Vol.12 , Issue.1 , pp.26-33, Feb-2024


Online published on Feb 28, 2024


Copyright © A. Antony Prakash . 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: A. Antony Prakash, “Big Data Security: Biggest Challenges, Analytics and Use cases,” International Journal of Scientific Research in Computer Science and Engineering, Vol.12, Issue.1, pp.26-33, 2024.

MLA Style Citation: A. Antony Prakash "Big Data Security: Biggest Challenges, Analytics and Use cases." International Journal of Scientific Research in Computer Science and Engineering 12.1 (2024): 26-33.

APA Style Citation: A. Antony Prakash, (2024). Big Data Security: Biggest Challenges, Analytics and Use cases. International Journal of Scientific Research in Computer Science and Engineering, 12(1), 26-33.

BibTex Style Citation:
@article{Prakash_2024,
author = {A. Antony Prakash},
title = {Big Data Security: Biggest Challenges, Analytics and Use cases},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {2 2024},
volume = {12},
Issue = {1},
month = {2},
year = {2024},
issn = {2347-2693},
pages = {26-33},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=3410},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=3410
TI - Big Data Security: Biggest Challenges, Analytics and Use cases
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - A. Antony Prakash
PY - 2024
DA - 2024/02/28
PB - IJCSE, Indore, INDIA
SP - 26-33
IS - 1
VL - 12
SN - 2347-2693
ER -

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Abstract :
Factors such as population growth and resource depletion are driving manufacturers to improve their productivity and sustainability. Consumers are becoming more informed about the things they use, therefore producers need to be flexible and open to new developments. The manufacturing industry has developed thanks to the expertise of big data analytics, or BDA. Businesses have enhanced the quality of their products while also being more adaptable in their operations. This study looks at the many advantages of big data that manufacturing companies may use to improve. It also goes through well-known manufacturers` examples and how they might set the standard for big data-enabled production. Lastly, it tackles some of the issues that must to be resolved in-order to enable big-data analytics for enterprises of all stripes, not just the best manufacturers.

Key-Words / Index Term :
Big-data; Hadoop; Map Reduce; Security; HDFS

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