With the continuous innovation of science and technology, entering the big data era at the same time inevitably led to big data thinking from monistic thinking upgraded to binary thinking, at present, according to the analysis of the transformation mode of human thinking, it is still carried out to the state of pluralistic thinking, that is, the pursuit of harmony and stability of the social model, but the study of the development of the process of big data thinking found that the binary of the big data thinking mode is a highly efficient and suitable for the development of today's society, which pursues efficiency, relevance and probability, and improves the efficiency for innovation and development. According to the needs of today's society and its fast-paced development, big data thinking has been in a dominant position in the development of various fields, analyzed by the level of its basic features, big data thinking is mainly characterized by the holistic, holistic theory is based on the ability of human beings to understand the world in the natural view of the continuous change of the embodiment of the present society through the integration of human beings for the integration of the overall data and the analysis of the ability to be embodied in the era of big data. In the era of big data, the holistic big data thinking mode has become the first choice for problem solving as an inevitable trend and result, the reason is that the holistic thinking mode can more efficiently complete the complex data statistics and analysis. China's population census, for example, China's last three census interval of ten years, and the face of China's huge population, big data thinking in the data statistics occupy an absolute advantage, it is reported that China's total investment in the census of more than six hundred million yuan to the census in 2010 to analyze the data, our country spent a huge manpower, financial resources and time, if the use of big data for the census, with the advantage of its If we use big data to conduct the census, with its advantage of using only one percent of the sample survey for data analysis, will greatly reduce the census for the government to bring problems.

2 The interconnectedness of big data thinking

"Everything is quantifiable." Douglas. Relatively micro-level analysis of big data thinking characteristics, more typical for today's society and technological development of quantitative interconnectivity thinking, quantification for a specific or clear goal of an expression, and interconnectivity represents the connection between the two things, which as a micro-level expression of big data thinking, more important to illustrate the importance of big data thinking, the famous investor Masayoshi Son for the development of the big data era puts forward: "Digitize or die." Directly expresses the current status of big data thinking, the study found that digital information has become a representative of the development of the times has become an inevitable trend, and quantitative thinking for the inevitable thinking results brought about by the characteristics of digitization, in other words, quantification can be interpreted as a way to describe and explain the world of the language of ****, and its embodiment lies in the full utilization of the latest technological means for the various fields of information to carry out a comprehensive quantitative acquisition and Information interoperability, open up the information gap, and a new information integration, to realize the practicality of analysis and data science, to create more value based on the application of data and information assets. At present, the use of big data is not only reflected in the network platform, but also in people's subtle life, employment environment and ecological protection scope are widely applicable, gartner company in 2015 using big data to analyze the current and future employment environment of people, the results of the survey show that in 2015 the demand for data positions worldwide up to 4.4 million, and in 2018 The lack of only big data employment background managers worldwide will be as high as 1.5 million people, the case shows that the global shortage of talent will become an inevitable trend and continue to increase, the case clearly reflects the quantitative interconnectedness of big data thinking in the big data environment, and makes accurate predictions for the future employment environment.

3 The value of big data thinking

Analysis of the nature of big data thinking, big data thinking has the value of the characteristics of the big data era of continuous integration and analysis of information has already made the quantitative and interconnection of information and data into a multi-dimensional state of development, in other words, the big data thinking penetrates the different dimensions of the various fields and industries is the initial motivation for the development of big data and the direct purpose, nowadays society views the value of the big data thinking as an important factor in the development of the industry. In other words, the penetration of big data thinking into different dimensions of various fields and industries is the initial motive and direct purpose of the development of big data, and today's society views its value-based characteristics as the essence of big data thinking, and at the same time, the quantitative interconnectivity of everything and its wholeness make its value influence the development of multi-dimensionality, which highlights the creativity and importance of data and big data thinking. Through the study of facts, it is proved that under the background of the big data era, its value characteristics and its value significance are constantly evolving and in a state of constant excavation, and the successive acceptance and application of big data thinking mode in various fields is also one of the benefits brought about by the development of big data, and with the continuous development and study of big data thinking, its application not only implements high efficiency in data processing and analysis, but also realizes accurate and accurate data prediction of events and data. With the continuous development and research of big data thinking, its application not only achieves high efficiency in data processing and analysis, but also realizes accurate and probabilistic analysis results on the prediction of events and data. Google Inc. used big data thinking to accurately predict the location and number of influenza outbreaks in the classic case study analysis in 2008, which shows the necessary value of big data thinking for the development of the society and changes the society's view on big data, and it can be said that the use of big data has successfully reached a brand-new height. Google's integration of data from billions of Internet search requests to predict influenza in various regions of the world has led to the successful use of big data in various countries, and at the same time has led to people's big data thinking and thinking patterns, raising big data thinking to a socially acceptable level.

Based on the analysis of the current state of social development, the objective point of view that our country has basically entered the era of big data, the characteristics of big data thinking has been embodied in all areas of society, and accompanied by the use of multi-dimensional, so that the full use of big data thinking is imminent, the advanced thinking to drive our country's scientific and technological and economic development is inevitable. With the continuous introduction of artificial intelligence and the continuous upgrading of data analysis, and based on the study of the prospects for the development of big data thinking for the community, big data thinking to lead the development of science and technology in China has become an inevitable trend in the future.