Design And Implementation Of Post-loan Monitoring System Based On Hadoop

Post-loan risk monitoring in the credit business is a long-term problem that has plagued my country's bank credit business.The reasons for this may include imperfect construction of the bank's monitoring system in credit and other work,incomplete risk prevention and control settings,and inadequate risk control.Of course,there are also some man-made risk factors,which all explain the complexity and difficulty of post-loan monitoring risk control in bank credit business.Aiming at the financial industry customers' post-loan business management problems,this paper uses computer technology combined with mature big data technology to design and implement a post-loan monitoring system,unified management and archiving of credit business data,unified review and review,and enriches project management media materials.Thereby increasing customers' post-loan management methods and improving the effect of post-loan management.This paper first starts from the post-loan monitoring business process in the bank credit business,and conducts an in-depth analysis and demonstration of the functional requirements,performance requirements and use case specifications of the post-loan monitoring system.In the demand analysis stage,it is proposed to divide the system roles into super administrators,head office administrators,head office users,branch administrators,and branch users,each of which performs their duties,collects and uploads data in the system to ensure data consistency and upload,and high-availability clusters are built to ensure Data high-availability storage,uninterrupted external reading and writing services,and data access management can access audit data at any time for detailed use case analysis.During the analysis of non-functional requirements,the system proposes maintainability,response time,concurrency and reliability requirements.Then the network structure of the system is designed,and the software hierarchical structure is designed according to the SSM development framework.Through system function analysis and actual business functions,the post-loan monitoring system is divided into three parts:data collection and upload,high-availability cluster,and data access management.Finally,complete the database physical structure and logical structure design,E-R diagram design and interface design of the system.The data collection and upload part of the system uses Shell technology to complete data collection and upload regularly.The high-availability cluster uses open source Hadoop technology to build highly reliable data storage and read-write services.Data access management mainly uses Java EE development technology combined with front-end Jquery technology and database MySQL technology.Achieved.Finally,design test cases to test each functional module of the system.At present,the post-loan monitoring system has completed all the design functions according to the requirements,the system has passed all the test cases,and fully meets the requirements of the demand analysis.The system has been deployed and is operating stably.Banking staff can check the management credit project at any time through the system Post-loan data,review and manage the monitoring data of bank's post-loan projects.