Eight types of data can generate real big data value

Big data has attracted a lot of attention in society in the past few years, and there is a lot of timeliness in practice that has been shown, unlike in earlier years when people were still discussing the concept and considering whether it could thrive in the land of China. Now it seems to be the reality. In terms of my own work, I think there are three issues we need to focus on.? First, the development of big data can't be realized without infrastructure, and we can't talk about it without new database technologies, and we can't talk about it without something like cloud computing. Therefore, the infrastructure, may be many places easy to take a detour, we all think, since engaged in this, we have to build IDC, a few years ago to engage in the smart city, engaged in the middle of the database, basically all over the world want to grab this train. I think for infrastructure, we may now have to consider a new path and thinking, is innovation. It may be ***build*** enjoy*** buy services, or buy services from a third party, and use the cloud method or use the public cloud to solve the problem.? Secondly, I think the most important thing may be the data source, the data source and the way to get the problem if not solved, we will go a long way. I think there are probably eight categories of data sources, each one different.? The first category, government information, between departments is the problem of **** enjoyment. This approach we take is now through the establishment of a number of integrated linkage data exchange platform, these two years, the State Council also has a clear requirement to build a number of public **** data exchange platform, the requirement to open up the information islands between departments, the requirement of the upper and lower can be linked.? The second category is the government public **** data disclosure, whether government agencies, or quasi-government agencies, including some of our research institutes, universities, or our implementation of state-owned public **** functions, they form the public **** resources, which may be in accordance with the law and regulations, desensitization and declassification to be open, and to take a basic free of charge. The third category should be business data, this is now more active, business data is more, this can be considered valuable transfer, homogeneous exchange, agreement **** enjoy and so on. Because after all, business data is formed in the middle of the process of business producers, there is a cost to go in, not the government's investment.? The fourth category is the Internet data, this we are more familiar with, now do the most lively may be this, a variety of public opinion analysis are based on Internet data, because it is open. The use of big data that we are really pushing now is the use of the Internet, a large amount of Internet data, which forms different algorithms and finally different products.? The fifth category is communication data. Whether that includes cell phones, including WeChat and so on, this kind of data may need to be encrypted to obtain, desensitized when used. Paths can be studied. The sixth category is spatial geographic data, we undertake the construction of the national spatial geographic information base found that should be classified, the basic information of the public, specialized information can be taken to the agreement to obtain the way, or if you want to do the processing value-added, you can also do a cost, you can go to the sale.? The seventh category is the Internet of Things data, now more and more, whether it is industrial data, including smart home appliances, intelligent sympathetic, wherever formed by sensors, I think this kind of data is also to be divided into a class, a class of government public ****, through the public **** monitoring of access to the data may also be open, if not, is the entrepreneurs, the formation of the enterprise itself, through the formation of platforms, may be this kind of data we still have to go to purchase, or through an agreement.? The eighth category is financial data, which is currently taken inside the credit bureau system, and access to it is taken by those who do credit ratings. The use of these data is restricted, called application restriction. These data can produce real big data value, not statistics, by statistics I personally understand is not called big data. Big data is not being counted, and it's worth looking into this.? The third big issue is the mining of big data, I think this I do not say anymore, many entrepreneurs here today may talk about this, now the technology is very diverse, is the input-output problem, that is, how to pack according to the demand, the formation of the best products, through the marketing out of the market, this is entirely a market competition. However, there should also be rules in the market competition, I think we should also establish a set of rules accordingly, the establishment of a set of standards system, if the realization of **** enjoy the words, the interface, the standard do not have a variety of, but also to our regulators, such as our Internet Information Office of the supervision of the data should also be considered to a unified standard, and also supervision. Of course, the generation of big data mining should be user-paid.

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