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Real-Time Big Data Analytics: Applications and Challenges

R. Uthra1 , A. Mahalakshmi2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 273-276, Feb-2019

Online published on Feb 28, 2019

Copyright © R. Uthra, A. Mahalakshmi . 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: R. Uthra, A. Mahalakshmi, “Real-Time Big Data Analytics: Applications and Challenges,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.273-276, 2019.

MLA Style Citation: R. Uthra, A. Mahalakshmi "Real-Time Big Data Analytics: Applications and Challenges." International Journal of Computer Sciences and Engineering 07.04 (2019): 273-276.

APA Style Citation: R. Uthra, A. Mahalakshmi, (2019). Real-Time Big Data Analytics: Applications and Challenges. International Journal of Computer Sciences and Engineering, 07(04), 273-276.

BibTex Style Citation:
@article{Uthra_2019,
author = {R. Uthra, A. Mahalakshmi},
title = {Real-Time Big Data Analytics: Applications and Challenges},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {273-276},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=770},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=770
TI - Real-Time Big Data Analytics: Applications and Challenges
T2 - International Journal of Computer Sciences and Engineering
AU - R. Uthra, A. Mahalakshmi
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 273-276
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

In recent years, time-significant processing or real-time processing andanalytics of big data have received a huge amount of attentions. There are many areas/domains where real-time processing of data and making timely decision can saves thousands of human lives, minimizing the risks of human lives and resources, enhance the quality of human lives, enhance the chance of effectiveness, capableresources management etc. This paper has describedreal-time big data analytics applications and the tools used and the technical challenges faced by the applications. In addition it presents a general overview of big data to describe a background knowledge on this extent. Some examples of these domains includesecurity, healthcare, transportation, military, and natural disaster. Several big data applications in these domains rely on fast and timely analytics based on available data to make excellence decisions.

Key-Words / Index Term

bigdata,applications,tools,challenges

References

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