Big data can be divided into the fields of big data technology, big data engineering, big data science and big data applications. Currently the most talked about are big data technologies and big data applications. Engineering and science issues have not yet been emphasized. Big data engineering refers to the systematic engineering of planning, construction, operation and management of big data; big data science is concerned with discovering and verifying the laws of big data and their relationship with natural and social activities in the process of development and operation of big data networks.

The Internet of Things, cloud computing, mobile Internet, vehicle networking, cell phones, tablets, PCs, and a wide variety of sensors in all corners of the earth, none of which is a source of data or a way to carry it.

Some examples include weblogs, RFID, sensor networks, social networks, social data (due to the data revolution in society), Internet text and documents; Internet search indexes; call detail records, astronomy, atmospheric sciences, genomics, bio-geochemistry, biology, and other complex and/or interdisciplinary scientific research; military reconnaissance, medical records; photographic archive video archives; and large-scale e-commerce.

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