Big data analysis in healthcare research seems to be a necessary strategy for the convergence of sports science and technology in the era of the Fourth Industrial Revolution. The purpose of this study is to provide the basic review to secure the diversity of big data and healthcare convergence by discussing the concept, analysis method, and application examples of big data and by exploring the application. Text mining, data mining, opinion mining, process mining, cluster analysis, and social network analysis is currently used. Identifying high-risk factor for a certain condition, determining specific health determinants for diseases, monitoring bio signals, predicting diseases, providing training and treatments, and analyzing healthcare measurements would be possible via big data analysis. As a further work, the big data characteristics provide very appropriate basis to use promising software platforms for development of applications that can handle big data in healthcare and even more in sports science.

Abstract
1. Introduction
2. Theoretical concept of big data
3. Big data handling mechanismsin the healthcare applications
4. Conclusion
References

• Seok-Jae Moon(광운대학교 정보과학교육원 정보보호학과) | 문석재
• Namju Lee(광운대학교 정보과학교육원 체육학과) | 이남주 Corresponding author