What professional category does big data belong to?

What professional category does big data belong to?

Big data is a major in mathematics. Related majors include information and computing science, mathematics and applied mathematics, and statistics. Big data is an emerging discipline resulting from the intersection of many disciplines and statistics. , Big data involves data mining and cloud computing, so it is a major in mathematics.

(1) Statistics is a comprehensive discipline that uses means such as searching, sorting, analyzing, and describing data to infer the nature of the measured object and even predict the future of the object. Sex Science. It uses a lot of professional knowledge in mathematics and other disciplines, and its scope of use covers almost all fields of social sciences and natural sciences.

(2) Mathematics and applied mathematics is a subject major. This major cultivates masters of the basic theories and basic methods of mathematical science, the ability to apply mathematical knowledge and use computers to solve practical problems, and receives preliminary training in scientific research. . Senior professionals who can engage in research and teaching in science and technology, education and economic departments or engage in practical application, development research and management in production, operation and management departments.

(3) The information and computing science major is a more in-depth and professional interdisciplinary subject that combines mathematics with information and management in the background of the information field.

Introduction to the big data major

The big data major will focus on the three main aspects of big data application (i.e. data management, system development, massive data analysis and mining) system Help enterprises master solutions to various typical problems in big data applications, including implementing and analyzing collaborative filtering algorithms, running and learning classification algorithms, building and benchmarking distributed Hadoop clusters, building and benchmarking distributed Hbase clusters , implement a parallel algorithm based on MapReduce, deploy Hive and implement a data operation, etc., to actually improve the company's ability to solve practical problems.

The demand for talents in the field of big data is large, multi-level, and wide-ranging. The industry’s demand for talents is growing exponentially, and related industries have a massive demand for jobs.

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