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Is it better to do big data development or big data analysis? Which salary is higher?

Zero basic learning big data development, or big data analysis? Which aspect is better?

Today, we will conduct a comprehensive analysis from a technical point of view and salary point of view to facilitate your choice.

Technical distinction

Before making a choice, you need to understand the difference between the two, and then make a decision based on your existing foundations and interests.

1. Big data's development position has certain requirements for code ability and engineering ability, which means that you need to have certain programming ability, certain language ability, and then the ability to solve problems, because big data's development will involve a large number of open source things, and there are many open source things, so you need to be able to quickly locate and solve problems. If it is zero foundation, it is suitable to have a certain development foundation. And then be able to master new things quickly.

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2. If it is big data's analytical position, in business, you need to quickly understand, understand and master the business, perceive business changes through data, and make business decisions through data analysis. Technically, you need to have certain data processing capabilities, such as the use of some scripts, sql database query, execl, sas, r and other tools. At the tool level, the scope of change is relatively small, mainly business understanding.

Therefore, if you are non-science and engineering background, programming ability is poor, but the ability to understand the business is OK, in fact, you can choose the data analysis class.

In addition, in terms of salary, the salary of development will be slightly larger than that of data analysis, which is due to the cost of posts, of course, this is only under normal circumstances, high-end talents in any field are valuable.

Data development is the foundation, and data analyst biochemistry is to do some research and analysis of the developed data, and then get the overall phenomenon and potential business opportunities behind the data, which are interconnected with each other. for our overall life also has its own advantages and disadvantages.

If we say which of the two is better, we can only say that data development is biased towards programs, and data analysis is biased towards mathematics.

Salary difference

one

Big data development

As a "giant panda" in IT occupations, the income and treatment of big data engineers can be said to have reached the top of the class. Big data is related to 10% of domestic IT, communications and industry recruitment, and the proportion is still on the rise. In the United States, big data engineers earn an average of $175000 a year.

The salaries of big data development engineers in first-tier cities and big data development cities are relatively high.

two

Big data's analysis

Big data analysis is also a high-income technical position, the salary is no less than that, and we can see that the salary of talents with 3-5 years of technical experience can reach more than 30K.

Finally, whether you are doing big data development or analysis, it is a high-paid technical position, the most important thing is to practice your own skills.

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