Data Science Platform:Features, Technologies and Trends

The concept and types of data science platform are proposed based upon in-depth studies of more than 35 data science platforms from the annual report of Magic Quadrant for Data Science Platforms since 2015.The main scientific issues in the academic research of data science platform involve the design of data science platform, the scalability of data science platform, the research and development of data science platform based on data lake, the supporting team cooperation ability of data science platform, the open strategy of data science platform and the engineering methodology of data science platform.The main features of data science platform include modular development and integration capability, DevOps, emphasis on scalability, emphasis on user experience, emphasis on citizen data scientist, and emphasis on human-machine collaboration scenario.The key technologies for the realization of data science platform are machine learning, stream processing, tidy data, containerization and data visualization.The fu