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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

The evolution of data warehouse architectures: from on-premises to cloud-native solutions

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Kushal Shah *

Fairleigh Dickinson University, USA.

Research Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 1990-1997

Article DOI: 10.30574/wjarr.2025.26.1.1289

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1289

Received on 07 March 2021; revised on 12 April 2025; accepted on 15 April 2025

This article examines the evolutionary transition from traditional on-premises data warehouses to cloud-native solutions, highlighting the transformative impact across various industries. The article analyzes the challenges inherent in traditional data warehouse architectures and explores how cloud-native solutions address these limitations through enhanced scalability, performance, and cost-effectiveness. Through this analysis of implementation patterns across healthcare, industrial, and educational sectors, the article demonstrates the significant advantages of cloud-native architectures in terms of operational efficiency, resource utilization, and business agility. The article also investigates critical success factors for migration, implementation strategies, and emerging trends in data warehouse evolution, providing insights into future directions and considerations for organizations undertaking this digital transformation journey.

Cloud-native data warehouses; Digital transformation; Enterprise architecture; Data management; Cloud migration

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1289.pdf

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Kushal Shah. The evolution of data warehouse architectures: from on-premises to cloud-native solutions. World Journal of Advanced Research and Reviews, 2025, 26(01), 1990-1997. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1289.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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