Enterprise information resource management system based on big data technology
When the enterprise information resource management system faces the influx of large-scale and multi-type data,the processing efficiency is low,and the system is prone to collapse,therefore,an enter-prise information resource management system based on big data technology is designed.The Hadoop plat-form architecture is analyzed to determine the overall architecture of the resource management system,the corresponding functions of each subsystem is designed,and the system hardware environment is deployed.The big data fusion technology is used to set up the software execution algorithm and mine the association rules between resources through fuzzy scheduling.Meanwhile,the fusion model of similar resources is es-tablished according to the similarity function to improve the business processing efficiency and complete the overall design of the system.The experiment results show that the CPU utilization of the system is only about 30％,and the processing time is less than 1.00s,which greatly reduces the processing time and improves the processing efficiency.
big data technologyinformation resourcesmanagement systemHadoop platformbig data fusion
万方数据
维普
