A Study in Performing Big Data Analytics with Limited Resources
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 granular...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2022-04-01
|
| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA246JL22.pdf
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850282899631243264 |
|---|---|
| author | Steven Mathis John Coffey |
| author_facet | Steven Mathis John Coffey |
| author_sort | Steven Mathis |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d851652c24b5466fb9ea50f32290da62 |
| institution | OA Journals |
| issn | 1690-4524 |
| language | English |
| publishDate | 2022-04-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj-art-d851652c24b5466fb9ea50f32290da622025-08-20T01:47:51ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242022-04-012024044A Study in Performing Big Data Analytics with Limited ResourcesSteven MathisJohn CoffeyData 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.http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA246JL22.pdf data analyticscovid-19automated data acquisitionautomated updateautomated summarization |
| spellingShingle | Steven Mathis John Coffey A Study in Performing Big Data Analytics with Limited Resources Journal of Systemics, Cybernetics and Informatics data analytics covid-19 automated data acquisition automated update automated summarization |
| title | A Study in Performing Big Data Analytics with Limited Resources |
| title_full | A Study in Performing Big Data Analytics with Limited Resources |
| title_fullStr | A Study in Performing Big Data Analytics with Limited Resources |
| title_full_unstemmed | A Study in Performing Big Data Analytics with Limited Resources |
| title_short | A Study in Performing Big Data Analytics with Limited Resources |
| title_sort | study in performing big data analytics with limited resources |
| topic | data analytics covid-19 automated data acquisition automated update automated summarization |
| url | http://www.iiisci.org/Journal/PDV/sci/pdfs/ZA246JL22.pdf
|
| work_keys_str_mv | AT stevenmathis astudyinperformingbigdataanalyticswithlimitedresources AT johncoffey astudyinperformingbigdataanalyticswithlimitedresources AT stevenmathis studyinperformingbigdataanalyticswithlimitedresources AT johncoffey studyinperformingbigdataanalyticswithlimitedresources |