BANKING ANALYSIS PORTAL
Rahul R. Nair, Rohan E. Mhetre, Avinash D. Zagade, Ganesh S. Thorat · International Educational Scientific Research Journal · 2016
There are very less systems in the Application Market which connects the different banks to access the transactional data (i.e. credited and debited) of the user. A user may have many different bank accounts for which the user may find it difficult to keep a track of all the transactions he had performed from different accounts and so the user finds it difficult to organize his expenditures and earnings at the end of the month. The proposed system organizes all together expenditures and earnings of the user from various accounts. Distributed Data Aggregation Service (DDAS): as the name itself suggests that it is nothing but aggregation of data. In simple words, the data that is present at different locations are merged together in order to achieve greater speed, security and flexibility. There are several systems for database management and one of them is Distributed data aggregation service (DDAS) system which is relying on Blobseer. It is found that it provides a high level performance in aspects such as data storage as a Blob (Binary large objects) and data aggregation. For complicated analysis and instinctive mining of scientific data, Blobseer serve as a repository backend. In this paper we review the different aspects regarding Distributed data aggregation service (DDAS) and different approaches and case study regarding it and in which aspects it is useful over the globe. The main purpose of this system is to provide the security to user sensitive data. This can be achieved applying security to three different connections of the system namely, User-API, API-Bank, API-Database using different algorithms like DDAS, Hash Coding, etc.