BIG DATA SCALABILITY, METHODS AND ITS IMPLICATIONS: A SURVEY OF CURRENT PRACTICE

In the recent years; with the rise in usage of the devices that could connect itself to the network and could share data, there is a steady increase in the number of applications that are being introduced for providing various services to the users who rely on the devices that are being connected on the network to use the application. The biggest issue that these applications will face is how these applications will have to handle the data that is being generated by its users and also how these applications will provide the security to the data. For any application it is important to provide the security to the data of its users. Some of the major applications will involve high privacy data of the users which providing security will play a vital role and any compromise in the security [7] aspects of the applications will lead to enormous loss. The second issue that the application must focus upon is the scalability. There are two important key points why the scalability [8] is important. One, when the applications is being created it is the services that is being more focused upon rather than the count of the users that could use so providing a scalable system that could incorporate as many users as the users rise [9] is important for the application. Second, the hardware and the software configuration for the system will not be more focused upon during the development of the system, even though the hardware and the software configuration would be focused upon it is to be seen than they are satisfied for the services [10] the application provide. So providing a scalable system that can adapt the change of the hardware and of the software as they are being upgraded is an important element [11] in any part of the applications.