The basic concept of big data is the plurality of information subjects.

The so-called big data, i.e., massive data, is characterized by a large amount of information, a plurality of information subjects, a rapid rate of updating, and a low density of value, and usually refers to a field devoted to analyzing, processing, and storing a large collection of data that often comes from different sources. The origin of big data is the Internet. Because the purpose of big data is to better understand customer preferences, it filters, analyzes, and ultimately summarizes and organizes massive amounts of fragmented information data into the information that businesses need. And this massive amount of information comes from the Internet.

A kind of scale is so large that it greatly exceeds the ability of traditional database software tools in the acquisition, storage, management and analysis of the data collection, with massive data scale, rapid data flow, diverse data types and low value density four major characteristics.

Introduction of the classification of sources of big data:

1, man-made data: for the data including e-mail, documents, pictures, audio, video and other social media generated by the data stream. Big data is still very promising.

2, transaction data: including POS data, credit card swipe data, e-commerce data, Internet click data sales system data, customer relationship management system data, the company's production data, inventory data, order data, supply chain data. On the one hand, big data itself can create a huge value space, the value system of big data has a huge growth potential.

3. Mobile communication data: mobile devices such as smartphones capable of accessing the Internet are becoming more and more common. The amount of data recorded by these devices and the three-dimensional integrity of the data are often superior to the data held by various Internet companies.

Reference: Baidu Encyclopedia-Big Data