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Article Open Access April 11, 2024

5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects

Linda Susan Amos 1 and Eng. Tirivangani Magadza 1
1
School of Information Science & Technology (SIST)-Harare Institute of Technology, Zimbabwe
Publihed in: Current Research in Public Health (Volume 4, Issue 1, 2024)
Page(s): 36-47
DOI: 10.31586/jaibd.2024.911
Received
March 05, 2024
Revised
April 06, 2024
Accepted
April 09, 2024
Published
April 11, 2024
Keywords
Big Code; Big Software; Big Data; 5V’s; Code Optimization; Scalability
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2024. Published by Scientific Publications
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Cite This Article

APA Style
Amos, L. S. , & Magadza, E. T. (2024). 5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects. Current Research in Public Health, 4(1), 36-47. https://doi.org/10.31586/jaibd.2024.911
ACS Style
Amos, L. S. ; Magadza, E. T. 5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects. Current Research in Public Health 2024 4(1), 36-47. https://doi.org/10.31586/jaibd.2024.911
Chicago/Turabian Style
Amos, Linda Susan, and Eng. Tirivangani Magadza. 2024. "5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects". Current Research in Public Health 4, no. 1: 36-47. https://doi.org/10.31586/jaibd.2024.911
AMA Style
Amos LS, Magadza ET. 5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects. Current Research in Public Health. 2024; 4(1):36-47. https://doi.org/10.31586/jaibd.2024.911 
@Article{crph911,
AUTHOR = {Amos, Linda Susan and Magadza, Eng. Tirivangani},
TITLE = {5V’s of Big Data Shifted to Suite the Context of Software Code: Big Code for Big Software Projects},
JOURNAL = {Current Research in Public Health},
VOLUME = {4},
YEAR = {2024},
NUMBER = {1},
PAGES = {36-47},
URL = {https://www.scipublications.com/journal/index.php/JAIBD/article/view/911},
ISSN = {2831-5162},
DOI = {10.31586/jaibd.2024.911},
ABSTRACT = {Data is the collection of facts and observations in terms of events, it is continuously growing, getting denser and more varied by the minute across different disciplines or fields. Hence, Big Data emerged and is evolving rapidly, the various types of data being processed are huge, but no one has ever thought of where this data resides, we therefore noticed this data resides in software’s and the codebases of the software’s are increasingly growing that is the size of the modules, functionalities, the size of the classes etc. Since data is growing so rapidly it also mean the codebases of software’s or code are also growing as well. Therefore, this paper seeks to discuss the 5V’s of big data in the context of software code and how to optimize or manage the big code. When we talk of "Big Code for Big Software's," we are referring to the specific challenges and considerations involved in developing, managing, and maintaining of code in large-scale software systems.},
}
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