Design And Implementation Of Bank Financial Management System Based On Big Data

In order to improve the efficiency and standardization of bank financial management and to solve the problems of data redundancy and insufficient evaluation ability in bank financial system,a bank financial management system based on big data is designed in this thesis.The system makes full use of the advantages of big data distributed storage technology to solve various problems in bank financial management.Based on design process of the bank financial management system,we take full advantage of B/S architecture,J2 EE technology and UML modeling technology and design the system frame and each function module.In order to solve the problem of massive data storage and utilization,Hadoop distributed file system is adopted.In addition,the data collection and data preprocessing of big data storage are designed by using the method of combining HBase database with Oracle database.According to the actual needs of users,six functional modules are designed;they are user management function,voucher management function,cashier management function,statement management function,risk early warning function and financial evaluation function.These functions can meet the needs of users for financial management.The financial management system based on big data fully excavates the massive data in the financial system of the bank.Through various early warning and evaluation models,it can realize the financial risk early warning and quantitative analysis of the financial situation of the bank,and provide powerful data support for the bank's decision-making.After the system is developed,the function and performance of the system are tested.The test results show that the system meets the needs of users and it can be put into operation normally.