A Study in Performing Big Data Analytics with Limited Resources
Steven Mathis, John Coffey
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Steven Mathis
Department of Computer Science, The University of West Florida, Pensacola, Florida, United States
John Coffey
Department of Computer Science, The University of West Florida, Pensacola, Florida, United States
Cite this paper as:Mathis, S., Coffey, J. (2022). A Study in Performing Big Data Analytics with Limited Resources.
Journal of Systemics, Cybernetics and Informatics, 20(2), 40-44. https://doi.org/10.54808/JSCI.20.02.40
Online ISSN (Journal): 1690-4524
Abstract
Data analytics are usually the purview of large organizations with significant human and computational resources. The purpose of the article is to identify how organizations with limited resources, including limited computing power and bandwidth, can carry out meaningful data analytics at a granularity that fits their specific needs. This paper presents a case study in creating and maintaining a COVID dashboard for a 5-county area in the Panhandle of Florida, using only free software and publication platforms. Results of this study are informative for any local or regional entity needing focused data analytics.
