In recent years, when we entered the era of big data, it promoted the upgrade of big data thinking from monistic thinking to dualistic thinking to a certain extent. Now, 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. Its pursuit of efficiency, relevance and possibility 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. The theoretical basis of wholeness lies in the ever-changing ability of human beings to understand the world in the view of nature, which is reflected by human beings' ability to integrate and analyze the whole data in today's society.
2. Interconnection of big data thinking
Analyzing the thinking characteristics of big data at a relatively microscopic level is typically a quantitative interconnected thinking that conforms to the development of today's society and science and technology, and is quantified as a statement 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, proposed the development of the era of big data: digitalization or death. ? Directly express the current position of big data thinking.
It is an inevitable trend to find that digital information becomes the representative of the development of the times, and quantitative thinking is the inevitable result of thinking brought about by digital characteristics. In other words, quantification can be interpreted as a way to describe and explain the world through sexual language.
3. The value of big data thinking
By analyzing the essence of big data thinking, big data thinking has the characteristics of value. 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. Now the society summarizes its value characteristics and its value 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, thus highlighting the creativity and importance of data and big data thinking.
What are the main characteristics of big data thinking in the data age? Qingtian Bian Xiao will share with you here. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.
These are the thinking characteristics of big data in the data age shared by Bian Xiao. What are the main ones? For more information, you can pay attention to Global Ivy and share more dry goods.