What is data virtualization and why it is relevant?

Data virtualization is the process of creating a virtual layer of data. It will distribute a set of unified data services among multiple users and applications to provide better accessibility, reduced replication, and higher flexibility.

Picture Courtesy : Load Cells Website
The Load Cells Manufacturers has published an article on Data Virtualization. It gives a brief idea on data virtualization, with special emphasis on what is data virtualization and what is not. It also talks about working principle of virtualization, various data virtualization tools and the need for the data virtualization.
The most recent innovation is Data Virtualization, a process that gathers and integrates data from multiple sources, locations, and formats to create a single stream of data without any overlap or redundancy.

With big data analytics, companies can locate revenue streams from existing data in storage, or they can find ways to reduce costs through efficiency. However, this is easier said than done. IT companies generally have multiple, dissimilar sources of information, so accessing that data can be time-consuming and difficult. Data virtualization systems can help.

Companies that have implemented data virtualization software have better, quicker integration speeds and can improve and quicken their decision-making.
You can read the complete article in Load Cells website.

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