What is the connection between big data and statistics?

In fact, although the knowledge system of statistics has been adjusted to some extent in the era of big data, the concept of statistics itself is still different from big data. Statistics focuses on methods, while big data pays more attention to the whole process of data value. Big data needs not only statistical knowledge, but also mathematical knowledge and computer knowledge. On the other hand, statistics has laid a certain foundation for the data value of big data.

From the perspective of technical architecture, statistical knowledge is mainly used in the field of big data analysis. Statistical method is one of the two main ways of big data analysis, and the other is machine learning. Therefore, it is very necessary for R&D personnel who focus on big data analysis to master statistical knowledge. Statistics has formed a systematic knowledge system in data analysis, and many technologies have been tested by practice. In fact, for many people in the workplace, most data analysis tasks are based on statistical theory, including data analysis tools used in the field of statistics.

Judging from the future development trend, on the one hand, the statistical society is further inclined to big data, including many graduate programs in statistics, which are gradually expanding to big data. On the other hand, big data will adopt a large number of statistics-related theories and technologies in the early stage of development, which can also improve the application ability of big data-related technologies.