Data-driven journey: a data management paradigm-centric review and data mesh capabilities

Kamel Abdellaoui, Mohamed Ali Hadj Taieb, Rafik Mahjoubi and Mohamed Ben Aouicha

International Journal of Data Mining, Modelling and Management, 2024, vol. 16, issue 2, 209-243

Abstract: Becoming data driven is one of the top strategic objectives of data-rich organisations. Africa must join the wave to capture and unlock the highest value from data. Therefore, this survey analyses the drivers, challenges, and evolution, of existing data management paradigms including data warehouse, data lake and data lakehouse. It reveals the limitations of monolithic approaches to address data at scale and how they led to a paradigm shift toward a more distributed and decentralised data mesh. The paper discusses data mesh capabilities to address the challenges of data availability and accessibility at scale in Africa to enable leapfrog development in its journey to being data driven.

Keywords: data-driven; data management paradigms; data mesh; analytics; developing countries. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=138865 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijdmmm:v:16:y:2024:i:2:p:209-243

Access Statistics for this article

More articles in International Journal of Data Mining, Modelling and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().