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Data virtualization is the process of aggregating data from different sources of information to develop a single, logical and virtual view of information so that it can be accessed by front-end solutions such as applications, dashboards and portals without having to know the data's exact storage location.
Many organizations run multiple types of database management systems, such as Oracle and SQL servers, which do not work well with one another. Therefore, enterprises face new challenges in data integration and storage of huge amounts of data. With data virtualization, business users are able to get real-time and reliable information quickly, which helps them to take major business decisions.
The process of data virtualization involves abstracting, transforming, federating and delivering data from disparate sources. The main goal of data virtualization technology is to provide a single point of access to the data by aggregating it from a wide range of data sources. This allows users to access the applications without having to know their exact location.
The most recent implementation of the data virtualization concept is in cloud computing technology.
Data virtualization software is often used in tasks such as:
Some of the capabilities of data virtualization include: