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Big Data Virtualization and Visualization on Cloud

Big Data Virtualization and Visualization on Cloud

Farid Ahmad
Copyright: © 2016 |Pages: 11
ISBN13: 9781466697676|ISBN10: 1466697679|EISBN13: 9781466697683
DOI: 10.4018/978-1-4666-9767-6.ch010
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MLA

Ahmad, Farid. "Big Data Virtualization and Visualization on Cloud." Managing and Processing Big Data in Cloud Computing, edited by Rajkumar Kannan, et al., IGI Global, 2016, pp. 145-155. https://doi.org/10.4018/978-1-4666-9767-6.ch010

APA

Ahmad, F. (2016). Big Data Virtualization and Visualization on Cloud. In R. Kannan, R. Rasool, H. Jin, & S. Balasundaram (Eds.), Managing and Processing Big Data in Cloud Computing (pp. 145-155). IGI Global. https://doi.org/10.4018/978-1-4666-9767-6.ch010

Chicago

Ahmad, Farid. "Big Data Virtualization and Visualization on Cloud." In Managing and Processing Big Data in Cloud Computing, edited by Rajkumar Kannan, et al., 145-155. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9767-6.ch010

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Abstract

Data virtualization is the procedure of combining data from different sources of information to develop a solo, logical and virtual view of facts so that it can be accessed by front-end resolutions such as applications, dashboards and portals without having to know the data's exact storingsite. Several organizations ride multiple types of database management systems, such as Oracle and SQL servers, which do not work fine with one another. Therefore, enterprises face new challenges in data integration and storage of huge amounts of data. With data virtualization, commercial handlers are able to get real time and consistent information speedily, which supports them to take foremost corporate decisions. The process of data virtualization involves abstracting, transforming, federating and delivering data from unequal sources. The key objective of data virtualization technology is to deliver a single point of access to the data by aggregating it from a wide range of data sources.

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