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What stage of development is big data currently in?

Using Perspective

There are many successful uses of big data in the field of big data, but in terms of its effect and depth, the use of big data is still in the primary stage, based on the analysis of big data, guessing the future, guiding the practice of the deeper use of the development of the main points will become. At that time, in the practice of big data use, descriptive, speculative analysis of the use of more than the resolution of the guiding deeper analysis of the use of less.

Management perspective

Big data management system is far from being formed, especially privacy, data security and data sharing and use of the power of the obvious contradictions between the remaining, become a limitation of the development of the important short board of the big data, all walks of life has been aware of the construction of a big data management system of great significance. Among them, the contradiction between privacy, security and shared use is particularly prominent. On the one hand, the demand for open data sharing is very urgent; on the other hand, the uncontrolled circulation and sharing of data may lead to serious risks in privacy maintenance and data security, which must be standardized and restricted.

Skill perspective

The scale of data is increasing at a high rate, and the existing skill system is difficult to satisfy the demand for the use of big data, and the theory and skills of big data are far from being mature, so that the future information skill system will require subversive innovation and change. In recent years, big data acquisition, storage, management, processing, analysis and other related skills have been significant development, but the big data skills system is still not perfect, big data theory is still in its infancy.

About what stage of development big data is in at the moment, Qingteng Xiaobian will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.