Analysis and Application: Sports Education Information Management under the Background of Big data

The new environment of education created by big data has brought a great impact on college physical education. To accelerate the modernization of physical education in colleges and universities, this paper points out the great value and application characteristics of big data in sports education information management. Combined with the characteristics of education big data, the application of data mining technology in education field is analyzed, and an Apriori algorithm based on MapReduce model is proposed. The scheme makes full use of the high-performance characteristics of the distributed computing framework, and improves the management data calculation and storage capacity. The system also provides various data API interfaces, which can effectively integrate all kinds of sports resources in colleges and universities, so as to improve the accuracy of association rule mining. The improvement strategy can then be used to build sports big data environment and improve the decision-making ability and intelligent level of sports management information system.