However, this is only a superficial understanding of "Big Data". The first disciplines to propose the concept of "big data" were "astronomy" and "genetics," which have relied on "analytics based on massive amounts of data" since their inception. From their inception, these two disciplines have relied on "analysis based on massive amounts of data" methods. Big Data can be said to be the product of the combination of "computer" and "Internet", the computer realizes the "digitization" of data; the Internet realizes the "networking" of data. "Networking"; the combination of the two to give the "big data" vitality! With the Internet as air, water, electricity as ubiquitous penetration into our work and life, coupled with the popularity of the mobile Internet, Internet of Things, wearable networking devices, new "data" is being generated at an exponential rate of acceleration. It is said that 90% of the world's "data" has been generated rapidly since the emergence of the Internet. However, putting aside the surface phenomenon of quantitative production and storage of data, we need to pay more attention to the qualitative changes brought about by the quantitative changes in data, this "qualitative change" is manifested in the following three aspects: 1) Data Thinking The big data era has brought us a brand new "mindset "The change in the way of thinking in the next generation to become the mainstay of social production will bring disruptive changes in the industry! - Analyze comprehensive data rather than random sampling; - Focus on the complexity of the data, weakening the precision; - Focus on the correlation of the data, rather than causation. Historically, business change is the beginning of a "change of mindset", the old economic system and traditional business concepts facing the logic of the new business mindset, if the brain can not keep pace with the times, absorbing and transforming into a new mindset to adapt to the trend of the new thinking through the new thinking to reorganize the organization's corporate strategy, structure, culture and a variety of strategies, then the seemingly powerful body, the body is not a good idea. If the brain cannot absorb and change into the new thinking, which is in line with the trend, and reorganize the strategy, structure, culture and various strategies of the enterprise organization through the new thinking, then the seemingly strong body will become a liability for the enterprise to advance. This kind of new thinking subverted the giant case first occurred in the traditional field of information technology, and then penetrated into the traditional business field: Blackberry (Blackberry), Motorola, Nokia, Kodak, Yahoo! Cases abound! Of course, the decline of these enterprises is not because of the lack of "data thinking", but they are "new Internet thinking" eliminated by the former giants. The "data mindset" is the latest thinking, and its influence has not yet developed to the point of causing the giants to collapse. However, if you don't pay enough attention to it, you may be on the list of the next wave of fallen kingdoms! 2) Data Assets: In the era of big data, we need more comprehensive data to improve the accuracy of analysis (prediction), and therefore we need more cheap, convenient, and automatic data production tools. In addition to the virtual world of the Internet, we use the browser, software intentionally or unintentionally left a variety of "personal information data", we are using cell phones, smart watches, smart bracelets, smart necklaces, and other wearable digital products to produce data; our home routers, televisions, air conditioners, refrigerators, water dispensers, vacuum cleaners, Smart toys, etc. are also getting smarter and more connected, and these household appliances are producing a lot of data while serving us better; even when we go out shopping, the routers of merchants, WLAN and 3G of carriers, the ubiquitous electronic eyes of cameras, the self-service screens of department stores, the ATMs of banks, gasoline stations, and credit card swipes all over the convenience stores are all collecting and producing data. produce data. In the Internet field, we like to say the word "entrance", "entrance" corresponds to the direct meaning of "traffic", and traffic means "money" in the Internet field. In the Internet field, traffic means "money", and the realization of this kind of traffic may be advertisement, game, or e-commerce. In the era of big data, the word "entrance" has a deeper meaning, that is, "the source of data production", the user through an APP or hardware products to meet certain needs, but also leave a series of related "data". "The rational use of these data can make the enterprise that owns this part of the data obtain greater commercial interests! Therefore, in the era of "big data", companies that realize that "data is also an asset" have begun to lay out the "source of data production", which may be a WEB site or a website that solves the needs of the newly emerging market, or a website that solves the needs of the newly emerging market. It may be a WEB site that solves the needs of the just emerging, or it may be a simple tool APP, or it may be a wearable digital product. 3) The data becomes an existing "data asset", and it is necessary to dig out the value of the "asset" by "analyzing it" and then "analyze it". "value, and then" realized "for the user value, shareholder value and even social value. The core purpose of big data analysis is "prediction", on the basis of massive data, through "machine learning" related technologies and mathematical modeling to predict the possibility of things happening and take corresponding measures. Predicting stock prices, predicting airline ticket prices, predicting the flu, etc. "Predicting the likelihood of something happening" continues on to the next level, where appropriate "interventions" can be made to steer things in the desired direction.