KeywordsCloud computing Big Data Microsoft Google Apple cloud security cloud security
Big data, first of all, means massive amounts of data, and radically alters the idea of data utilization. It is possible to analyze all the data that may be produced, which will make people change the sampling methods used in the past for a long time, and be good at responding to the mass (all) data quickly and even in real-time. The sampling analysis in the past leads to the deviation of the sample distribution, which distorts the conclusion of the finite data, while the data mining analysis in the large data age does not mean that the analysis is less difficult, and the contrary may be higher.
Of course, in the big data age, there is usually no need to analyze all the data. Victor Maire-Schoenberg, a professor of governance and supervision at the Internet Institute of Cyber Studies at Oxford University, has pointed out that large data uses probability to speak, and that data in massive amounts will be extracted from the data in a large amount of time, so long as the data mining accuracy is higher than the previous sampling analysis. It is technically possible to analyze all the data and is not feasible in cost, not to mention the fact that time costs are often more important than economic costs.
Large data from a new concept with forward-looking, to promote the computer, the Internet and other information industries, as well as traditional industries, public management and many other aspects to achieve significant changes, not long ago. That is to say, the growth rate of large data is quite alarming. Unfortunately, many people's understanding of large data is still in the past a number of new entrepreneurship, the understanding of the concept of the Internet level, the large data brought about by the innovation, development opportunities as a "cheat", the Big Data era is happening in the industry and social relations change blind eye. At the macro level, the state Ministry of Industry officials also pointed out that "China's large data industries are also facing the lack of talent, data resources are not rich enough, the data open to a low degree of relevant laws and regulations are not perfect and so on."
From the role that each of us is more likely to play as consumers, office workers, digital product users, and so on, large data has profoundly changed our consumption, social and work, and its role will be further enhanced. Apply a hot word, you can not care about large data, big data but to care about you. The use of any technology has two sides, in bringing to people with unique convenience at the same time, will be the existing social relations and people's habits impact, and even damage the interests of users or others. Large data is based on data mining and analysis, which can be predicted, which will help the public administration and enterprises to carry out tighter control over the ordinary people. The United States already has social networking sites for companies to predict employee turnover, the higher the number of employees will not be promoted; financial institutions through the large data technology, the customer group consumption propensity and bad record of the correlation index, on the one hand to induce users more convenient to carry out more impulsive consumption, On the other hand, for some users to set more stringent loans, credit card application restrictions, insurance companies will be based on the customer's medical, consumer data, the possibility of the death period of their pre-contract, thereby denying the purchase of some users.
Big data in China, respectively, with large data for entrepreneurs, entrepreneurial innovation opportunities, large data for the government departments to speed up legislation and promote the transformation of public management pressure, big data for internet giants to rearrange the industry layout of important opportunities, Large data on the field of science and technology to activate the relevant fields of joint-innovation opportunities, large data for consumers to obtain more convenience and privacy disclosure threats, and other aspects of the big data issues have been comprehensively described. In the narrative, the author brings together many large data research and analysis works at home and abroad, and combined with the reality of China's large data development, to Chinese readers to popularize the concept of large data.
It is worth mentioning that this book consciously selected the United States and China's large data industry in a number of cases, this paper sums up the common law of large data development, and points out the main chronic disease of China's large data industry lagging behind the United States, and sends out the rapid development of China's large data industry, speeding up large data legislation and related public management mode transformation, We should strengthen the construction of privacy security mechanism and the cultivation of civic ideas in large data age. The author of the book particularly emphasizes that in the booming internet age, large data can help the government, enterprises and other organizations to get rid of the old management model, towards a brighter future, but to achieve this, the current government must grasp the big data development infrastructure, industry chain, talent, technology and legislative five key elements.
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