Abstract
Data virtualization is a critical strategy that organizations employ to enhance business analytics in the age of Big Data. This approach allows for seamless access to and integration of data from diverse sources, both internal and external, without the need for physical data movement or replication. This paper explores data virtualization strategies and their impact on business analytics, highlighting the benefits, challenges, and best practices associated with this technology. By adopting data virtualization, organizations can achieve a unified and real-time view of their data, enabling faster and more informed decisionmaking in a rapidly evolving business landscape.
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