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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

ETL and data virtualization

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Nishanth Reddy Mandala *

Software Engineer, Brambleton, United States of America.
 
Review Article
World Journal of Advanced Research and Reviews, 2022, 13(02), 562-573
Article DOI: 10.30574/wjarr.2022.13.2.0013
DOI url: https://doi.org/10.30574/wjarr.2022.13.2.0013
 
Received on 02 January 2022; revised on 22 February 2022; accepted on 25 February 2022
 
As organizations continue to adopt modern data architectures, the convergence of traditional ETL (Extract, Transform, Load) processes with data virtualization has emerged as a promising solution for integrating and managing complex data environments. Data virtualization allows real-time data access without physically moving the data, while ETL provides the foundation for data transformation and integration. This paper explores the integration of ETL and data virtualization, its benefits, and challenges, and provides insights into how businesses can leverage this approach to create a unified data management strategy.
 
ETL; Data Virtualization; Data Integration; Real-Time Data Access; Data Management
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2022-0013.pdf

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Nishanth Reddy Mandala. ETL and data virtualization. World Journal of Advanced Research and Reviews, 2022, 13(2), 562-573. Article DOI: https://doi.org/10.30574/wjarr.2022.13.2.0013

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