Along with the emergence of business intelligence come concepts such as data warehouse and data marts. Both concepts refer to data warehouses where already integrated information is stored for subsequent use by business intelligence tools.
Although data warehouse tools have gradually evolved and adapted to the current situation, where data sources tend to be infinite and heterogeneous, new solutions have emerged that deal naturally with this diversity. It is here that the concept of data virtualisation appears.
Essentially, data virtualisation corresponds to the implementation of a logical layer, providing access to the different data sources without the need to replicate this data in a physical warehouse like the datawarehouse does. What advantages does this have? Primarily flexibility in the deployment of solutions, and facilitating access to real-time or near-real-time information.