Data can be divided into narrow sense and broad sense. In a narrow sense, dataization refers to the process of transforming things and their movements into identifiable information. Broadly speaking, dataization refers to the process of comprehensively understanding and optimizing the objective world by using basic data. Data exists objectively, and finding out these objective data is the process of digitization. How to obtain data effectively? Its important means is to use big data, which is itself a concentrated expression of dataization.

Big data is different from small data. Compared with big data, the standardized statistics we used to be familiar with are all small data. The rapid development of big data in the Internet age is due to a series of behind-the-scenes driving forces, including Moore's Law, the development of Internet and mobile Internet, and the emergence of social networks, sensing devices, intelligent terminals and intelligent manufacturing. These forces have contributed to the explosive growth of big data. In terms of categories, big data includes not only traditional statistical data, but also real-time and continuous transaction data, behavior data, perceived data and so on. Its basic feature is that the more chop suey, the faster.

Big data is important because it can do many things that small data can't do in the past. The role of big data can be simply summarized into five effects: first, the identification effect, which can identify identity, location, status, truth and falsehood; The second is the reproduction effect, which can reproduce the past scenes and realize the traceability of the process; Third, the correlation effect, through the correlation analysis, correlation analysis and cluster analysis of data, we can find out the relationship between things; Fourth, the premium effect, the application of big data can produce new data, which is conducive to discovering the inherent laws of things; Fifth, predict the effect, using big data can predict and analyze the economy, weather, disasters, diseases and human behavior.

Data is an important symbol of the information society. Following the agricultural society and industrial society, human beings have now entered the information society. The information society must be a highly information-based society and a highly data-based society. In particular, the emergence of big data technology has digitized many things that could not be measured, stored, analyzed and appreciated in the past, which indicates that human beings have taken a big step forward in seeking to quantify the world, and people's ability to understand the world has been improved as never before. Just like formulas, axioms and formulas that we are familiar with now, they have existed objectively for a long time. Once discovered, they become very valuable and become a sharp weapon for our actions. So is the data. In the past, we didn't have the technology and means to discover and capture it in large quantities. Now with big data technology, we are closer to discovering the essence of things and their changing laws. So with big data, all the information that can be digitized is digitized, and the ability of human beings to understand and change the world is greatly improved.