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

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.

Authors

Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-04-18
DOI
https://doi.org/10.30574/wjarr.2025.26.1.1289
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Kushal Shah
World Journal of Advanced Research and Reviews
Data Mining Algorithms and Applications
article

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

Kushal Shah
article en

Abstract

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.

World Journal of Advanced Research and ReviewsVol. 26(1)
Openalex Percentile: Top 90%
Data Mining Algorithms and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.