Data virtualization is a technique that allows users to access and analyze data from different sources without moving or copying the data. Data virtualization creates a logical layer that abstracts the physical location, format, and structure of the data, and provides a unified view of the data to the users. Data virtualization enables users to query and manipulate data from multiple sources as if they were a single source. This is paramount, as data sources do not move from where they are; they are not copied nor replicated to be used.
In this post, UG Expert and Microsoft MVP Pablo Moreno reviews the advantages of data virtualization and explores how the process can be implemented.