Strategies for Implementing Data Virtualization in Big Data Projects

  • Aaliyah Smith Department of Computer Science, University of Harvard
  • Revathi Bommu, University of Illinois Springfield, One University Plaza, Springfield, IL 62703
Keywords: Data Virtualization, Big Data, Data Integration, Data Access, Analytics, Data Governance

Abstract

Implementing data virtualization in Big Data projects is a strategic imperative for organizations seeking to unlock the full potential of their data assets. This paper explores effective strategies for the successful adoption of data virtualization in the context of Big Data analytics. We examine key considerations, best practices, and real-world examples to provide actionable insights for organizations embarking on data virtualization initiatives. By understanding the nuances of integrating data virtualization into Big Data projects, organizations can streamline data access, enhance analytics, and drive informed decision-making.

Published
2022-06-30
How to Cite
Aaliyah Smith, & Revathi Bommu,. (2022). Strategies for Implementing Data Virtualization in Big Data Projects. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 6(2), 51-69. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/301
Issue
Vol. 6 No. 2 (2022): INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY (IJCST)
Section
Articles