Big data is moving from "concept" to "value", recommendation and prediction based on big data are gradually becoming popular, data science will emerge, security and privacy will become important issues, and big data industry will become a strategic industry -- these are the predictions of the Committee of Experts on Big Data of the Chinese Computer Society on the top ten trends of "big data" in 2018. This is the big data expert committee of the China Computer Federation's prediction of the top ten trends of "big data" in 2018. In this prediction, it also includes data commercialization and data **** enjoyment alliance, big data ecosystem gradual development and so on. "Big data" from 2012, to be mentioned in all walks of life, a variety of public opinion voice mixed, some people think it is an opportunity, some people think it will be a "bubble". 2018, big data will face what are the problems?
Data openness is still a big problem
The premise of data application is data openness, which is already **** knowledge. Wu Hequan, academician of the Chinese Academy of Engineering and chairman of the Internet Society of China, pointed out that China's population ranks first in the world, but in 2010 China's newly stored data was 250PB, only 60% of Japan and 7% of North America. At present, some departments and organizations in China have a large amount of data but would rather not use it themselves than provide it to the relevant departments **** enjoy, resulting in incomplete information or duplication of investment. 2012 China's data storage reached 64EB, of which 55% of the data requires a certain degree of protection, however, less than half of the data is currently protected.
Sun Jiulin described the U.S. approach to open data. The U.S. government provides policy and funding to ensure that the cluster of data and information centers becomes a national information production and service base, guaranteeing a continuous supply of data and information, and using the network to deliver data and information in the most convenient and timely manner to the desks and families of all citizens, including scientists, government employees, corporate employees, school teachers and students, bringing the entire society into the information age.
"Let every citizen in the data, information, knowledge, theory, decision-making, benefits of the various aspects of the talent, so that the people to the flow of data and information in the process and the application of the process of the various values of the full excavation, the country for the play of their talent and the value of the excavation of the road to bring good, good service, to create a good environment." Sun Jiulin believes that this is the U.S. government chose the data information **** enjoy the "great circle" road. The idea of the distribution of benefits in the basic point is to benefit society as a whole, so that the whole country benefits.
At present, there is no national law that is specifically suitable for data **** enjoyment in China, only relevant regulations, statutes, statutes, opinions, etc.
In addition, there is no national law that is specifically suitable for data **** enjoyment in China.
In response to the front end of the utilization of big data - data **** enjoyment of the problem, Sun Jiulin believes that more than a decade of data **** enjoyment has achieved great results, in particular, the concept of **** enjoyment of the whole society has been **** knowledge, but the problems are still prominent: the lack of national-level policy, there have been a number of decentralized opinion However, there are still outstanding problems: lack of national-level policies, a number of fragmented opinions, insufficient binding force, and the awareness of senior management of the profound significance of data openness***sharing needs to be improved; the existing national data***sharing platform can hardly meet the demand for data resources for national development and scientific and technological innovation; lack of a dedicated team of data openness***sharing and the corresponding data experts as well as management personnel; and the lack of a reasonable evaluation mechanism and standards for dedicated data***sharing service personnel, and so on.
Urgent need for "national big data strategy" macro-integration
"Don't be misled by the Big Data (Big Data) Big, Big Data emphasizes not the big data, but the data mining." At the 10th National Informatization Expert Forum, academician Wu Hequan pointed out that Big Data needs to put more emphasis on data mining and utilization, and it is crucial to have a national Big Data strategy.
Wu Hequan proposed that the need to develop a national big data development strategy, big data is a strong application-driven services, standards and industrial pattern has not yet been formed, which is an opportunity for our country to leapfrog the development, but do not rise up in a flurry in the purpose of building big data centers everywhere under the circumstances of the unknown, everywhere to engage in the "data real estate", but the need to strategically focus on big data. Rather, we need to strategically focus on the development and utilization of big data, as an effective hand in transforming the mode of economic growth. At the same time, China needs to formulate "information protection law" and "information disclosure law" as soon as possible, not only to encourage the group and serve the social data mining, but also to prevent the individual invasion of privacy behavior, advocate the data **** to enjoy the data to prevent the data from being abused.
The expert committee of the China Computer Federation pointed out that there are two points in the era of big data that are very conducive to the development of China's information industry, the first is the development of open-source-based big data technology, so far there is no formation of technological monopoly; the second point is that China's population and the size of the economy determines the scale of the world's largest Chinese data assets. Therefore, the government, academia, industry and the capital market should cooperate to ensure national data security under the premise of maximizing the opening of data assets, to release the huge value of big data.
There are already a number of companies that have started to start businesses with data. In foreign countries there have been a number of data to provide services, do data analysis, visualization and research companies, some have achieved good results, and even have a good prospect and refused to be acquired by large companies. Some people predict that if the domestic Internet entrepreneurs, from the massive amount of "garbage" information to sniff out some clues, to find a certain point of entry, may be able to become the industry leader. However, it's not easy to find a decent "big data" startup in China right now; but some people believe that it's the existence of such a gap that allows people to see the opportunity
Big data talent is in short supply in various countries
Big data talent is undoubtedly in short supply, and Gartner predicts that big data will bring 4.4 million jobs to the world. will bring 4.4 million new IT jobs and tens of millions of non-IT jobs worldwide. McKinsey & Company predicts that the U.S. will have a shortage of 140,000 to 190,000 in-depth data analytics talent by 2018, and a 1.5-million-person shortfall in technical and managerial talent capable of analyzing data to help companies gain economic benefits. China's innovative talents who can understand and apply big data are even scarcer resources.
The Big Data Expert Committee believes that from the current training of talents in various countries, data scientists should master skills in disciplines such as mathematics, statistics, data analysis, business analytics, and natural language processing, with a broad knowledge base and the ability to independently acquire knowledge. The curriculum of Fudan University emphasizes that a data scientist is a scientist who studies data, not just a data engineer or data analyst.