Application of distributed data system and fuzzy feature recognition in school enterprise cooperative talent training mode

Abstract

In the past few decades, higher vocational and technical education has developed rapidly, and in the process of development, it has found a cooperation mode that can promote the win–win situation of both schools and enterprises-school-enterprise cooperation talent training mode. After this model was put forward, it was welcomed by universities and enterprises. At the same time, the model was also theoretically recognized by scholars. When integrating distributed data, integration personnel often encounter cumbersome and outdated integration operations, and they cannot share the applied data in a short time. In order to solve this problem, the author designed a distributed data security integration application system in this article. This system is built on the basis of fuzzy feature recognition. According to the framework of fuzzy feature recognition, the service module function is established. There are certain boundaries between different functions, and different services are related to each other, which provides great convenience for development and also facilitates deployment. This system has strong scalability, and the load balancing strategy and fault tolerance mechanism are also very powerful. During the application process, the system classifies the data. In order to allow users to control access to the data, the user roles are divided to identify the user's identity information. The certificate chain model is used when assigning roles. Doing so can make the role assignment more accurate, reduce the pressure of assigning cloud center nodes, and make it more practical.