Feasibility Analysis of Athletes' Physical Training Based on Big Data Perspective

At present, the development of big data is getting faster and faster, and the application of big data in various fields is becoming more and more extensive. In the sports industry, athletes' physical training from the perspective of big data has become a new trend. This article aims to explore the feasibility of athletes' physical training from the perspective of big data, and provide more scientific and personalized training suggestions for coaches and athletes. This paper uses the methods of literature review and experimental analysis to conduct a comprehensive investigation and analysis of athletes' physical training from the perspective of big data. This paper analyzes the application of big data technology in athletes' physical training, including data collection, storage, analysis and application. At the same time, this paper also analyzes the challenges faced by athletes' physical training from the perspective of big data, such as data quality and accuracy, data analysis and mining, data privacy and security, etc. The studies have shown that the verification rate and recall rate of the big data training platform are above 90%, and the training score increases with the number of samples. In summary, the physical training of athletes from the perspective of big data is feasible. Big data technology can greatly improve the scientific and personalized level of athletes' physical training, and provide coaches and athletes with more scientific training plans and personalized training suggestions.