What is the science of big data technology and application?

Big data technology and application is an emerging "Internet +" major, and big data is the cutting-edge technology of data analysis. Therefore, there are many people who want to step into the field of big data, and today I will take you to understand what to learn about big data technology and application.

What are the contents of big data technology and application?

1.Data collection: use web crawlers and other technologies to capture text, sound, graphic images, ** and other data, and carry out data pre-processing and reasonable storage. Communication University has majors in broadcasting, journalism, television, etc., which is itself a big data.

2.Data analysis and mining: Use SPSS, SAS, Clementime and other tools to conduct shallow analysis of data, and use machine learning, data mining, artificial intelligence and other technologies for high-end analysis and application.

3.Data visualization: Artistically display the results of data analysis and mining. Graphic images, computer vision, animation technology and other means are used to present the results of data analysis and mining in a three-dimensional and hierarchical manner.

4.Underlying data architecture: The distributed parallel architecture based on Hadoop facilitates the storage and real-time retrieval of massive data.

What kind of talents does the big data technology and application major cultivate?

This major is oriented to the information technology industry, major software companies, data companies, and information service companies, insisting on cultivating morality, cultivating all-round development of morality, intelligence, physique and beauty, mastering the basic theoretical knowledge and basic skills from data mining to data analysis, from rapid marketing to precision marketing business, from real-time monitoring to early warning, from quantitative strategy investment to statistical analysis of data, with basic software development, big data system integration, data mining, data analysis, data visualization and other capabilities, and can be engaged in programmers, Data analysts, system maintainers, etc., and have a certain degree of sustainable development and innovation ability of high-quality technical and skilled talents.

Employment direction of big data technology and application.

1. R&D engineer of big data system.

This professional is responsible for the research and development of big data systems, including large-scale unstructured data business model construction, big data storage, database architecture, database architecture optimization, database center design, etc.

2. Big data application development engineer.

This type of talent is responsible for building big data application platforms and developing analytical applications, they must be familiar with tools or algorithms, programming, optimization, and deployment of different mapreduce, and they develop various applications and industry solutions based on big data technology. Among them, ETL developers are very sought-after talents.

3. Big data analyst.

These people are primarily engaged in data mining, using algorithms to solve and analyze problems, to bring data to light, and to drive the continuous updating of data solutions.

2020 College Entrance Examination Voluntary Filling, Big Data Professional Interpretation.

, "Statistics", etc.

Big data is an emerging discipline that arises from the intersection of many disciplines and statistics. Data mining involved in big data.

Cloud computing is a kind of major, so it is a major like mathematics.

1) Statistics is a comprehensive science that uses means such as searching, sorting, analyzing, and describing data to infer the essence of the measured object and even the future of the object. It uses a great deal of expertise in mathematics and other disciplines, and it covers almost all fields of social and natural sciences.

2) Mathematics and Applied Mathematics is a subject specialty.

This major cultivates students to master the basic theories and methods of mathematical science, have the ability to apply mathematical knowledge and use computers to solve practical problems, and receive preliminary training in scientific research. Senior professionals who can engage in research and teaching in the departments of science and technology, education and economy, or engage in practical application, development, research and management in the production, operation and management departments.

3) Information and Computing Science.

It is an interdisciplinary discipline that combines mathematics, information, and management with the background of the information field.

More in-depth and professional.

2. Introduction to Big Data.

The big data major will focus on the three main levels of big data application (i.e., data management, system development, and massive data.

Analysis and Mining) systematically helps enterprises master the solutions to various typical problems in big data applications, including the implementation and analysis of collaborative filtering algorithms, running and learning classification algorithms, and distribution.

The construction and benchmarking of Hadoop clusters, the construction and benchmarking of distributed HBase clusters, the implementation of a parallel algorithm based on MapReduce, the deployment of Hive and the implementation of a data operation, etc., actually improve the ability of enterprises to solve practical problems.

The demand for talents in the field of big data is large, multi-layered, and wide-ranging, and the industry's demand for talents is growing exponentially, and related industries have a large number of job demands.

Hopefully, thank you.