Affiliation:
1. School of Economics and Management, Jilin Agricultural University, Changchun 130118, China
Abstract
Aiming at the problems of poor functionality, low resource utilization, and long response time in the currently designed rural financial mobile service management system, a rural financial mobile service management system based on big data is designed. This paper discusses the ideas and characteristics of big data, as well as the functional needs and development viability of rural financial mobile services. Based on Hadoop’s big data technology and Map Reduce and Spark, a big data analysis service management system architecture that is suitable for the field of rural finance is designed. Based on the overall system architecture, which is combined with linear discriminant analysis and data mining algorithms, the system software architecture is designed to realize system functions. Model the database in the system design process through power designer, and then realize the design of the rural financial mobile service management system based on big data. The experimental results show that the proposed method design system has better functionality, can effectively improve the utilization of system resources, and shorten the system response time.
Subject
Computer Networks and Communications,Computer Science Applications
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