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This article introduces the relevant knowledge of "what can be done by learning big data and what are the prospects?". In the operation of actual cases, many people will encounter such a dilemma. Then let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

What kind of work can you do like big data? In recent years, more and more people choose big data industry. Big data industry has a good prospect and good salary, and the demand of famous enterprises for big data talents is on the rise. Big data has a wide range of fields, whether in the field of science and technology, the food industry, the retail industry, etc., all need big data talents to carry out big data's processing, in order to provide a better user experience, optimize inventory, reduce costs and forecast demand.

Next, let's talk specifically about the positions that big data can take up next:

1. Big data Development engineer

Develop, build, test and maintain the architecture, responsible for the development and maintenance of the company's big data platform, and responsible for the architecture design and product development of big data platform continuous integration related tool platform.

2. Data analyst

Collect, process and perform statistical data analysis; use tools to extract, analyze and present data to realize the commercial significance of the data, which requires business understanding and tool application ability.

3. Data mining engineer

Data modeling, machine learning and algorithm implementation; business intelligence, user experience analysis, prediction of lost users, etc.; in addition to excellent mathematical and statistical skills, there are also high requirements for algorithm code implementation.

4. Data architect

Requirements analysis, platform selection, technical architecture design, application design and development, testing and deployment; advanced algorithm design and optimization; data-related system design and optimization, requires platform-level development and architecture design capabilities.

5. Database development

Design, develop and implement a database system based on customer requirements, connect the database and database tools through an ideal interface, and optimize the performance and efficiency of the database system.

6. Database management

Database design, data migration, database performance management, data security management, troubleshooting problems, data backup, data recovery and so on.

7. Data scientist

Data mining architecture, model standards, data reports, data analysis methods; use algorithms and models to improve data processing efficiency, mine data value, and realize the transformation from data to knowledge.

8. Data Product Manager

The data and business are combined to make data products; the platform line provides the basic platform and general data tools, and the business line provides more business-close analysis framework and data applications.

With the increasing demand for big data talents, the development space and treatment of big data industry are getting better and better. Many want to switch to big data. Big data's three main employment directions are big data system research and development talents, big data application development talents and big data analysis talents. Data analysis talents in both large and small enterprises have become a rigid demand, and their professional background has obvious advantages, but relevant majors and non-majors can also contribute to their career by learning to master the knowledge of data analysis and practicing in the workplace.

This is the end of the content of "what can be done by learning from big data and what are the prospects?" Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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