Understanding big data with big data
This report comprehensively brings together more than 30 kinds of data held by the Internet Big Data Analysis Center of the National Development and Reform Commission, the National Information Center and the "Belt and Road" Big Data Center, totaling more than 4 billion related data, and comprehensively uses various big data analysis methods to analyze the development of China's big data industry. So it can be called understanding big data with big data.
Beijing, Guangdong and Shanghai ranked the top three in big data development.
The report shows that China's big data development is generally in its infancy. But geographically, it's very interesting.
Yu Shiyang, deputy director of the Information Research Department of the National Information Center and president of Nanhai Big Data Application Research Institute, pointed out: "From the perspective of geographical distribution, from the perspective of provinces, Beijing ranks first. This is not surprising. The eastern coastal provinces rank first. As you can imagine. In the southwest, Sichuan, Chongqing and Guizhou have sprung up everywhere, which is the second growth pole of our big data development. "
Industrial backwardness is a prominent shortcoming in the development of local big data.
Specifically, in the ranking of big data development index of provinces, Guizhou, Chongqing and Sichuan are in the top ten after the eastern coastal provinces, ahead of any central province. According to the analysis, this is mainly the result of local policies. These three western provinces and cities have long regarded the development of big data industry as a key project. Wang Yukai, a professor at the National School of Administration, suggested that the next step in these places should be to focus on the landing of industries: "They first mastered a concept and then took the lead. However, there are relatively few industrial applications that can land, which is their weakness. So I think you must pay attention to the application and build your advantage. "
The shortage of talents has become increasingly prominent.
The report pointed out that there are many loopholes in data management, which is the primary problem facing the development of big data, including the resulting difficulties such as high operating costs, low resource utilization and complex application deployment. And we are more concerned about another big problem.
We will find that there are data in the field of big data, but people who can control these data are extremely scarce. For example, in terms of big data professionals, the analysis of the talent market is in short supply, and the gap is very large, while the supply of project management talents is far greater than the demand, so the structure is still unbalanced. The shortage of high-end talents is the most prominent problem. "
To develop big data, we should beware of "absent-minded" talents.
The core of big data is data capture and analysis, and the analysis link cannot be separated from manually setting variables and establishing models. The so-called "a thousand miles away, a drop in the bucket", big data analysis has high requirements for talents. However, the first big data development report revealed that there are many big data people in China who can manage it, but the real analysis is far from enough. This is a typical "eye-catching", which will inevitably hurt the long-term development of the big data industry. We can make up for the shortage of talents in education and explore a new talent training model. For example, the series of big data courses in colleges and universities are divided into theoretical teaching and technical teaching; For example, high-quality training institutions for social big data talents are carried out in many aspects.