University Sports Information Management System Based on Big Data

Abstract

Student information management is not only the basis of realizing efficient education and teaching management in Colleges and universities, but also an important link. However, in recent years, with the popular development of higher education, the number of students is further expanded, the number of students has increased a lot compared with the past, and the work of student information management has become increasingly heavy, which has brought new challenges to student information management. This requires managers (class teachers, class cadres) to update the concept of student management, innovate the student management mode, and use modern information technology to manage class affairs and student information. This topic is based on the realization of the standardization, digitization and automation of student information management, which can help class teachers and class cadres save manpower, material resources and financial resources, further improve the efficiency and accuracy of class information management in sports colleges and universities, strive to improve the scientific level of student information management, and provide a platform for students to broaden their horizons and actively participate in school activities. In this paper, through the design and development of sports information management system, and through the function and performance test, it is found that the system can meet the needs of colleges and universities, which simulates the results of 200 users’ concurrent number of operating system. The user concurrent number is the largest user concurrent number index of non functional requirements of the system, and the corresponding test items have passed the performance test requirements.

Construction of financial data management and analysis system based on big data

“…With the advancement of information technology and the arrival of the era of big data, the range of data that enterprises need to process in the process of financial management is becoming more and more extensive, at the same time, it is faced with increasingly complex and redundant data, too much garbage data, repeated data entry, and lack of consistency in information exchange. In addition, converting data formats while maintaining data integrity, it is an important challenge faced by enterprises in financial data processing [1][2]. Because the relevant financial data of enterprises is huge and complex, and more than one hundred parameters are often involved in financial processing, it is difficult to measure them by traditional methods, therefore, it is necessary to establish a unified and highly integrated information data processing system.…”

Research on the Application of Big Data Technology in Student Education Management

“…Generally speaking, to convert data into useful value, it is necessary to convert information into data, then data into knowledge, and finally knowledge into value. Data mining is the step in which data is transformed into knowledge [6] (Fig. 2).…”