Real-Time Big Data Analytics: Applications and Challenges

Authors

  • Uthra R M.Sc.,(Computer Science) RabiammalAhamed Maideen College For Women,Thiruvarur,Tamilnadu, India
  • Mahalakshmi A M.Sc.,(Computer Science) RabiammalAhamed Maideen College For Women,Thiruvarur,Tamilnadu, India

Keywords:

bigdat, applications, tools, challenges

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

References

[1] Nader Mohamed, Jameela Al-Jaroodi, “Real-Time Big Data Analytics: Applications and Challenges” International Conference on High-performance Computing & Simulation (HPCS), 2014

[2] Big Data Real Time Analytics: Applicationsand ToolsJayanth Kumar K1, Anisha B.S

[3] Real-Time Big Data Processing Framework: Challenges and Solutions Zhigao Zheng1,2, Ping Wang1,3,4,∗ and Jing Liu3 and Shengli Sun 1

[4] Big Data Real Time Analytics: Applications and Tools Jayanth Kumar K1, Anisha B.S.2

[5] B. Balis, T. Bartynski, M. Bubak, G. Dyk, T. Gubala, and M. Kasztelnik, “A Development and Execution Environment for Early Warning Systems for Natural Disasters,” In 2013 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), pp. 575-582. IEEE, 2013.

[6] Real-timebig data analytics-applications and challenges-Nader Mohamed Jameela Al-Jaroodi

[7] A Thommandram, JE Pugh, JM Eklund, C McGregor, andAG James. Classifying neonatal spells using real-time temporalanalysis of physiological data streams: Algorithm development.

[8] In IEEE Point-of-Care Healthcare Technologies(PHT 2013), pages 240–243, New York, USA,Bangalore, India,2013. IEEE.

Downloads

Published

2025-11-24

How to Cite

[1]
R. Uthra and A. Mahalakshmi, “Real-Time Big Data Analytics: Applications and Challenges”, Int. J. Comp. Sci. Eng., vol. 7, no. 4, pp. 273–276, Nov. 2025.

Issue

Vol. 7 No. 4 (2019): IJCSE Special Issue Feb Edition

Section

Survey Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.