Data Analytics for Frequently used Data items
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 3|
|Year of Publication : 2016|
|Authors : Srinivash R C, Justin Samuel|
How to Cite?
Srinivash R C, Justin Samuel, "Data Analytics for Frequently used Data items," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 3, pp. 13-16, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I3P103
Many Business worth billions and trillions of dollars have gone waste in the past due to lack of proper security techniques used for Analyzing frequently used data sets resulting into potential thread to the firms and customers privacy data. The organizations are in dire need of getting the frequently used data analytics so that they can get the insight of the data and better security plan and get maximum benefit from that. Organizations are providing enormous software solutions to solve real world problems. In order to keep the business alive and excellence in the upcoming era, a deep understanding of change in underlying technology trends (cloud, big data and etc.,), Analytics and change in business dynamics. Frequently used data is the key to the success of new and existing Business strategy. The ability to capturing the frequently used data quickly for system critical application using right data analytics and protecting them with proper security will save organizations fame, time and money. In this case study will discuss about DFDM. Data Analytics Frequently used Data Management (DFDM) is a solution that helps to capture the accurate frequently used data and protect the data for any applications.
Data Analytics Frequently used Data Management (DFDM)
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