IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Big Data Virtualization and Visualization: On the Cloud

Big Data Virtualization and Visualization: On the Cloud
View Sample PDF
Author(s): Muhammad Adeel (International Islamic University, Pakistan)
Copyright: 2017
Pages: 17
Source title: Decision Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1837-2.ch066

Purchase

View Big Data Virtualization and Visualization: On the Cloud on the publisher's website for pricing and purchasing information.

Abstract

With the recent explosion of internet usage as well as more and more devices are being hooked up with the cloud, big data is becoming a phenomena to tackle with. Big data management was initially a question of concern for only the big commercial players such as Google, Yahoo, Microsoft and others. But it has now become a concern for others, too. According to recent estimates, big data will continue to grow from terabytes into exabytes and beyond. This data needs to be made available for an organization's own use as well can be made available for scientific and commercial needs to the interested entities. This can include different user segments such as academia, industry etc. Academic use of big data is for further research and enablement of big data over cloud, working with it in containers, usage in virtualized environments etc. This generates a need for a sustainable infrastructure which can hold and maintain big data with opportunities for extended processing.

Related Content

Okure Udo Obot, Kingsley Friday Attai, Gregory O. Onwodi. © 2023. 28 pages.
Thomas M. Connolly, Mario Soflano, Petros Papadopoulos. © 2023. 29 pages.
Dmytro Dosyn. © 2023. 26 pages.
Jan Kalina. © 2023. 21 pages.
Avishek Choudhury, Mostaan Lotfalian Saremi, Estfania Urena. © 2023. 20 pages.
Yuanying Qu, Xingheng Wang, Limin Yu, Xu Zhu, Wenwu Wang, Zhi Wang. © 2023. 26 pages.
Yousra Kherabi, Damien Ming, Timothy Miles Rawson, Nathan Peiffer-Smadja. © 2023. 10 pages.
Body Bottom