Research And Application Of Campus Data Platform Based On Data Fusion

With the development of science and technology,the digitization of society has been greatly improved.Now all walks of life are trying to build their own big data.Under this background,university education is also affected by this development trend and even changes some educational methods and educational concepts in colleges and universities.With the gradual increase in the degree of informatization,colleges and universities have also begun to work hard to integrate into the social changes and strive to improve their own digital and informational level.In order to improve the digitization of campuses,many colleges and universities have successively built many business management systems.However,due to the different management data in each business management system,the resulting differences in system composition,database construction methods,and the overall framework are different.There are also great differences in the data stored by each business management system.This has led to the mutual closure of the various systems,making the data transferability and utilization are greatly reduced,cannot meet the campus unified management and service users at all levels.The purpose of this thesis is to build a standardized campus data fusion platform that can solve the problem of difficult data sharing and effectively improve data sharing.Through the investigation and study of various business management systems used by the Shandong Vocational College of Science and Technology,this thesis first identifies the existing problems in the current business system of the school and proposes a total solution to the problem;in addition,it establishes overall data.The standards of the data required by the Center have been studied and the coding criteria for the uniform standards that meet the requirements have been formulated.Thirdly,the principle of campus data generation has been analyzed,and the types of campus data required by various departments have been analyzed to establish a conformance to various data.The central database;Finally,we studied how various subsystems are analyzed with the central database and solved the problems of data fusion and data subscription for various systems.In this thesis,a book lending system was taken as an example to implement the system and the shared data center.Conduct data exchange and integration.By implementing the service's subscription to data in the shared data center,a comprehensive study was conducted using the OLAP technology on thebasis of this business,thus providing an effective solution to the problem of campus data fusion.