Data has become the enabling technology for many of the recent innovations. "More data trumps smarter algorithms" has been the mantra behind this revolution in computing. Given the rate at which the data is produced, there is need for scalable solutions to extract information out of them. Allowing the data to be stored in the cloud and be accessed without geographical and scalability limitations will remove many bottlenecks in bringing data-oriented innovations. Current cloud architecture solves the issues of accessibility and scalability, but poses several new challenges such as automatic management of the service, pricing the data, and security of the data. This talk will include several techniques to address these challenges using automatic physical design, service-based pricing, and cryptographic mechanisms. Data , Information , Knowledge , Intelligence.

How to Cite
S. RAJESH, S. SWAPNA, P.SHYLENDER REDDY, Dr.. Data as a Service (Daas) in Cloud Computing. Global Journal of Computer Science and Technology, [S.l.], sep. 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/286>. Date accessed: 26 jan. 2021.