Human interaction with structure in designing big data architecture

South African Journal of Information Management

 
 
Field Value
 
Title Human interaction with structure in designing big data architecture
 
Creator Nyikana, Wandisa Iyamu, Tiko
 
Subject — activity theory; architecture; big data; design; information technology governance; human interaction; information systems theory
Description Background: There is an increasing interest in big data. However, challenges shape and affect the gathering, retrieval, use and management of big data in many organisations. Some of the challenges are linked to a lack of architecture that is specific to big data. Attempts have been made from both business and academic fronts, yet the challenges persist. The challenges are attributed to a lack of an understanding of the factors that influence the design of architecture for big data in an organisation.Objectives: The study aims to propose big data architecture for enterprises.Method: We employed the qualitative method, using document analysis to gather data. Activity theory (AT) was employed in the analysis of the data.Results: From the analysis, governance, interactions, relationships and allocative were found to be the factors that influence the design of big data architecture. An interpretation was conducted following the inductive reasoning approach to gain a deeper insight of how the factors manifest themselves.Conclusion: Big data architecture is proposed. The architecture is intended to address some of the challenges encountered in gathering, retrieving, using or managing big data in organisations.Contribution: This study advances our understanding of the complex interplay of factors influencing the architecture of big data. Applying AT, the study fortifies our understanding of complex interactions between humans and big data including the architecture design.
 
Publisher AOSIS
 
Contributor
Date 2024-11-18
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajim.v26i1.1918
 
Source South African Journal of Information Management; Vol 26, No 1 (2024); 9 pages 1560-683X 2078-1865
 
Language eng
 
Relation
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https://sajim.co.za/index.php/sajim/article/view/1918/3030 https://sajim.co.za/index.php/sajim/article/view/1918/3031 https://sajim.co.za/index.php/sajim/article/view/1918/3032 https://sajim.co.za/index.php/sajim/article/view/1918/3033
 
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Rights Copyright (c) 2024 Wandisa Nyikana, Tiko Iyamu https://creativecommons.org/licenses/by/4.0
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