1, the integrity of big data thinking
With the continuous innovation of science and technology, entering the era of big data will inevitably lead to the upgrading of big data thinking from monistic thinking to dual thinking. At present, according to the analysis of the transformation mode of human thinking, it is still in the state of pluralistic thinking, that is, the mode of pursuing social harmony and stability. However, by studying the development process of big data thinking, it is found that the dual thinking mode of big data is an efficient thinking mode suitable for today's social development, and its pursuit of efficiency, relevance and probability improves the efficiency of innovation and development.
According to the needs of the current society and the fast-paced development of society, big data thinking has been in a dominant position in various fields. From its basic characteristics, the main feature of big data thinking is integrity, and the theoretical basis of integrity lies in the constant change of human ability to understand the world in the view of nature.
Today's society reflects the ability of human beings to integrate and analyze the whole data. In the era of big data, the thinking mode of all big data has become the first choice to solve problems, which is an inevitable trend and result. The reason is that the thinking mode of overall data can complete complex data statistics and analysis more efficiently.
Take the census in China as an example. The interval between the last three censuses in China is ten years. In the face of China's huge population, big data thinking has occupied an absolute advantage in data statistics. It is reported that the total investment in the census in China exceeded 600 million yuan. Taking the analysis of census data in 20 10 as an example, China has spent a lot of manpower, financial resources and time. If big data is used for census, if only 1% sampling survey is used to analyze the data, it will be greatly reduced.
2. Interconnection of big data thinking
"Everything can be quantified." Douglas. Analyzing the characteristics of big data thinking at the micro level, it is typical to quantify the interconnected thinking that conforms to the development of today's society and science and technology, and quantify it into the expression of specific or clear goals. Interconnection represents the connection between two things. As a micro-level expression of big data thinking, it further illustrates the importance of big data thinking. Sun Zhengyi, a famous investor, put forward: "Digitization or death."
Directly express the current position of big data thinking, and find that digital information has become the representative of the development of the times, and quantitative thinking is the inevitable thinking result brought by digital characteristics. In other words, quantification can be interpreted as a way to describe and explain the world in * * * language, which is embodied in making full use of the latest technical means, comprehensively collecting and exchanging information in various fields, bridging the gap between information, carrying out brand-new information integration, realizing the practicability of analysis and the scientificity and creativity of data.
At present, the application of big data is not only reflected in the network platform, but also widely used in people's subtle life, employment environment, ecological protection and so on. Gartner analyzed the current and future employment environment with big data on 20 15.
The survey results show that in 20 15, the global demand for data jobs will be as high as 4.4 million, while in 20 18, the gap of global big data employment background managers will be as high as10.5 million. This case shows that the global talent shortage will become an inevitable trend and will continue to increase. This case clearly reflects the quantitative interconnection of big data thinking in the big data environment, which is done for the future employment environment.
3. The value of big data thinking
By analyzing the essence of big data thinking, it is found that big data thinking has valuable characteristics. The continuous integration and analysis of information in the era of big data has transformed the quantification and interconnection of information and data into a multi-dimensional development state. In other words, the penetration of big data thinking into different fields and industries is the initial driving force and direct purpose of big data development. Today's society regards its value characteristics as the essence of big data thinking. At the same time, the quantitative interconnection and integrity of everything make its value affect multi-dimensional development and highlight the data.
Through the study of facts, it is proved that its value characteristics and significance are constantly evolving and being continuously excavated in the context of the era of big data. The acceptance and application of big data thinking mode in various fields is also one of the benefits brought by the development of big data. With the continuous development and research of big data thinking, its application not only achieves high efficiency in data analysis, but also achieves accurate and probabilistic analysis results in the prediction of events and data.
In 2008, Google used big data thinking to accurately predict the location and number of influenza outbreaks. Big data thinking shows its necessary value to social development and changes the society's view of big data.
It can be said that the application of big data has successfully reached a new height. Through the data integration of billions of online search requests, Google predicted the flu in various regions of the world. The success of this project has aroused the use of big data in various countries, at the same time, it has driven people's big data thinking and thinking mode, and raised big data thinking to the height of social recognition.
From the analysis of the current social development situation, it shows that China has basically entered the era of big data, and the characteristics of big data thinking have been reflected in all fields of society. With the multi-dimensional application, the comprehensive application of big data thinking is just around the corner, and it is imperative to drive China's scientific and technological economic development with advanced thinking. With the continuous introduction of artificial intelligence and the continuous upgrading of data analysis, based on the research on the development prospects brought by big data thinking to society, it has become an inevitable trend for big data thinking to lead the future development of science and technology in China.