Virtual Databases: An Effective IT Data Solution

Cloud Computing

A virtual server is a process of splitting a server. Each virtual server can run its own fully functioning operating system, and each server can be separately rebooted. It is a host for multiple OS images on one platform. Server virtualization is an efficient way to save on server hardware costs and management resources. However, new challenges and needs for data management now require improved data integration, data interoperability, and data sharing. Virtual databases are a very effective IT data solution.
A virtual database (VDB) is a container for components used to integrate data from multiple data sources so that they can be accessed through a single, uniform API. It is basically a single view into multiple databases as if they were one database. Once a virtual database is deployed, it can be accessed through SOAP (Web Services), JDBC-SQL, SOAP-SQL, or XQuery.
There are many benefits to using virtual databases. Information is always up-to-date and if the information changes quickly the virtual database will always get the latest version. Another advantage of the virtual database is there is only one point of entry, and as long you have a network connection and browser, you can access the virtual database no matter where you are in the world. Also, when upgrading a server, only the virtual database has to be upgraded so there is no client software that has to be maintained. As well, you will not be limited to linear documents as you can have a document with links to other documents and even have such media as sound, pictures, and video, with the document. Using a virtual database allows you to benefit from all of the advantages that come with a virtual server while reducing the number of physical servers.
Enterprise IT shops can benefit from the development of the VDB because when they deploy the VDB, they can design programs and systems in a more flexible way, merge scattered data in a consistent and easy to access way, bring higher transparency in data traffic, bring high productivity due to the enhanced system infrastructures, and the information of stored processes is understandable at any time. The result is the creation of a highly flexible and easy to understand data-saving enterprise solution.

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