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

The cutting-edge of cloud-based data integration: Transforming enterprise data management

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Sudhakar Guduri *

Jawaharlal Nehru Technological University, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 3248-3252

Article DOI: 10.30574/wjarr.2025.26.1.1437

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1437

Received on 15 March 2025; revised on 22 April 2025; accepted on 24 April 2025

Cloud-based data integration has emerged as a transformative force in enterprise data management, revolutionizing how organizations handle the exponential growth of data across disparate sources. This article explores the evolution from traditional on-premise solutions to sophisticated cloud integration platforms, examining the capabilities of leading providers including AWS Glue, Microsoft Azure Data Factory, and Google Cloud Dataflow. The paradigm shift toward serverless architectures has redefined scalability in data integration, enabling real-time processing with unprecedented flexibility and cost optimization. Through detailed case studies across financial services, healthcare, and manufacturing sectors, the article demonstrates how cloud integration implementations deliver substantial benefits in operational efficiency, data accessibility, and analytical capabilities. The transformative impact of these technologies is evidenced by reduced deployment times, decreased infrastructure-related incidents, and significant returns on investment, pointing to a future where cloud-based integration becomes the predominant strategy for enterprise data management.

Cloud Integration; Serverless Architecture; ETL Processes; Data Transformation; Enterprise Scalability

https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1437.pdf

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Sudhakar Guduri. The cutting-edge of cloud-based data integration: Transforming enterprise data management. World Journal of Advanced Research and Reviews, 2025, 26(01), 3248-3252. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1437.

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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