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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM22015
Volume:
7 |
5 |
May 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In recent times, the term “Big Data” has emerged to describe datasets that have grown so large that conventional database management systems struggle to handle them effectively. These datasets are too vast to be processed using typical tools, with sizes ranging from a few dozen terabytes (TB) to multiple petabytes (PB) of data within a single dataset, and this trend continues to expand. Consequently, managing, storing, searching, sharing, analyzing, and visualizing such large-scale data pose significant challenges. Organizations now find themselves exploring massive volumes of highly detailed data to uncover previously unknown insights. To achieve this, they employ software tools and storage systems to capture, store, manage, and interpret the data within reasonable timeframes. Our solution offers a user-friendly tool that allows individuals to collaboratively input datasets and leverage intelligent techniques for visualizing the data. This tool will be readily available to the public on a platform like Play Store, enabling users to utilize it without any cost.
KEYWORDS
Publication Date
5/28/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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