Contains both public and confidential.

Open such as GDP, CPI, fixed asset investment and other macroeconomic data, including data from the statistical yearbook or census of previous years, as well as geographic information data, financial data, real estate data, medical statistics and so on.

Secret data include military data, aerospace, satellite monitoring, criminal records and other large amounts of data that cannot be disclosed.

Two, corporate data

such as the company Baidu, Alibaba, Tencent, Sina microblogging, Amazon, facebook and other companies of the user's consumer behavior data and social behavior data. Tourism company's hotel, transportation, tickets and other order data, hospital testing data and cause of death data, agricultural farming cultivation data, and so on, the list goes on. Thousands of digital, text, audio, video and other data provide a basis for decision-making in business and operations, and the value generated through data processing provides significant profits for the enterprise.

Three, machine and equipment data.

such as driving meters, base station data, smart home, smart wearable devices.

How to categorize the sources of big data

four, personal data

such as photos taken by individuals, audio recordings, chat logs, emails, phone records, documents and other private data.