Data Virtualization: The Key to Realizing Big Data Analytics Potential

Abstract

Data Virtualization, a dynamic data integration approach, is becoming increasingly vital in the realm of Big Data analytics. This paper explores the role of Data Virtualization as a bridge between the ever-expanding data sources and the analytical tools used to extract valuable insights. We delve into the principles, technologies, and benefits of Data Virtualization, emphasizing its ability to simplify data access, enhance agility, and reduce the complexity of data integration processes. By abstracting the physical location and format of data, Data Virtualization empowers organizations to efficiently manage and analyze diverse data types, including structured and unstructured data, in real-time. We present case studies and practical applications to illustrate the transformative potential of Data Virtualization in optimizing Big Data analytics, fostering data-driven decision-making, and driving innovation across industries.