In general, if you can only tackle big data development, or only use database structures and algorithms, these skills will not make you a good engineer. So if you want to become a big data development engineer need to do what? The following Changping Beidaqingbird for you to introduce how to become a top big data development engineer.

1, willing to learn

The average engineer usually starts learning only when he needs a certain skill. Great engineers stay open to learning about all kinds of knowledge.

2, pragmatic but not stubborn

Few developers are able to comply with big data development specifications, mainly because large data development specifications are not written by professional program developers. But it must be borne in mind that the task of NDT engineers is to develop solutions, not to produce a work of art that demonstrates perfect technology.

3, really recognize the problem

There are a lot of problems that are emotional, you have to peel the onion on the key points to explore, can not just rely on search engines and forums, which is even more of a waste of time. Therefore, IT training suggests to find out how to analyze the root cause of the problem and have a comprehensive understanding of the problem, through in-depth analysis and exploration, you can get relevant clues and solutions.

4, with full enthusiasm

If there is no interest in big data development, it is impossible to become a top data developer. Interest is the best teacher, have interest to make yourself go farther.

5. Think before you act

Most data developers make the same mistake of planning program syntax all the time before the system analysis is complete. When good developers are faced with a problem, computer training believes that the first thing is to think, plan, and research before acting.