Based on the SQL Server2000 database, this paper integrates the advantages of C/S and B/S structure to develop a sports management system oriented to big data. The system includes three parts: teaching resource management, operation management information and quality and evaluation management. Which focuses on the design of the resource management system based on the recommendation algorithm, combined with the linear regression model as well as the user rating to construct a waterfall combination recommendation model to realize the recommendation of sports teaching resources. After the system was configured, the performance of the system, as well as the application, was tested and its usability investigated. Faculty members’ opinions on the system and student usage results were included in the tests. The tests showed that 88.75% of the faculty members were satisfied with the functionality and usability of the system, and only 9 of the 80 faculty members who participated in the tests expressed dissatisfaction. Two people expressed dissatisfaction with functional testing, and 11.25% of the faculty members expressed dissatisfaction with the interface design. Students who selected courses according to the recommendations improved their evaluated performance by 3.1 points in the step test, 39.30% in the standing long jump, and 7.36% in the forward bend. Based on the test results it was proved that the system functionality meets the needs of faculty and youth.