Enhanced Real-Time Monitoring and Visualization System for Efficient Data Analysis: A Case Study on Public Distribution System Data in Assam, India
Narottam Bhattacharjee, Abhijit Gogoi, Sanghamitra Nath
2024
Abstract
Modern software produces large amounts of log files or data. The exponential growth of data in modern software poses significant challenges for organizations in efficiently managing and extracting insights from this vast amount of information. This paper presents a user-friendly monitoring system that integrates Elastic-search’s search engine with Kibana’s visualization tools, aimed at simplifying real-time data management. By streamlining processes for retrieval, monitoring, searching, analysis, and visualization, the system addresses the challenges associated with handling large volumes of data. Through testing with data from Assam’s Public Distribution System (PDS), the research demonstrates the system’s efficacy in creating an efficient solution for monitoring and analyzing PDS data. The strategic alignment of this system underscores its potential to significantly enhance the effectiveness of data management in critical domains such as public distribution. This study contributes to advancing the understanding and implementation of streamlined data management solutions in complex operational environments.
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in Harvard Style
Bhattacharjee N., Gogoi A. and Nath S. (2024). Enhanced Real-Time Monitoring and Visualization System for Efficient Data Analysis: A Case Study on Public Distribution System Data in Assam, India. In Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com; ISBN 978-989-758-739-9, SciTePress, pages 5-12. DOI: 10.5220/0013304500004646
in Bibtex Style
@conference{ic3com24,
author={Narottam Bhattacharjee and Abhijit Gogoi and Sanghamitra Nath},
title={Enhanced Real-Time Monitoring and Visualization System for Efficient Data Analysis: A Case Study on Public Distribution System Data in Assam, India},
booktitle={Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com},
year={2024},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013304500004646},
isbn={978-989-758-739-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Cognitive & Cloud Computing - Volume 1: IC3Com
TI - Enhanced Real-Time Monitoring and Visualization System for Efficient Data Analysis: A Case Study on Public Distribution System Data in Assam, India
SN - 978-989-758-739-9
AU - Bhattacharjee N.
AU - Gogoi A.
AU - Nath S.
PY - 2024
SP - 5
EP - 12
DO - 10.5220/0013304500004646
PB - SciTePress