The difference between big data and traditional statistics

Statistics is one of the three basic disciplines of big data, so the relationship between statistics and big data is still very close. However, there are still some differences in the following aspects.

One, the knowledge system is different

1, statistics focuses on ways and means;

2, big data is more concerned about the whole process of data valorization, big data not only need statistical knowledge, but also need to have mathematical knowledge and computer knowledge.

Second, the technical architecture is different

1, statistical knowledge is mainly used in the field of big data analysis, statistical approach is one of the two main ways of big data analysis, another way of data analysis is machine learning.

2, big data technology, not only involves statistics, but also mathematics, computers and various industries in the subject content. It is an emerging specialty in the cross-fertilization of disciplines.

Three, the data set is different

1, traditional statistics due to the feasibility of the reason, often get just a sample, but the need to describe the sample taken from that large data set.

2, big data, on the other hand, can often get the data in general, for example, all the data about a company's employees, all the customer data in the database, and so on. In this case, statistical inference is worthless.

References

Baidu Encyclopedia-Big Data

Baidu Encyclopedia-Statistics