Specialty of Big Data Industry DevelopmentAlso known as megadata, it refers to massive, high-growth, and diverse information assets that require new processing modes to have stronger decision-making, insight, and process optimization capabilities.

Big data analytics is characterized by large data volumes and complex query analysis compared to traditional data warehouse applications.

The concept of "Big Data" was first introduced by Viktor Mayer Sch?nberg and Kenneth Kukier in the preparation of The Age of Big Data, which refers to the use of all data to be analyzed and processed without using the shortcut of stochastic analytics (sampling). Big data is characterized by 4Vs, namely Volume, Velocity, Variety and Value.

For "big data" (Big data) research organization Gartner gave a definition, "big data" is the need for a new processing model in order to have a stronger decision-making power, insight discovery and process optimization capabilities of the massive, high growth rate and diversity of information assets. Big Data is a massive, high-growth and diverse information asset that requires new processing models for better decision-making, insight discovery and process optimization. The strategic significance of big data technology does not lie in the mastery of huge amounts of data and information, but in the specialized processing of these meaningful data.

Technically, Big Data and Cloud Computing are as inextricably linked as the positive and negative sides of a coin. Inevitably, big data cannot be processed by a single computer; it must be distributed architecture. It is characterized by distributed data mining of massive data, but it must rely on the distributed processing, distributed database and cloud storage, virtualization technology of cloud computing.