Mainly from the two required ability to analyze. First of all, big data engineers need to have computer coding skills, because in the face of the massive amount of unstructured data, you have to dig out something valuable, need to design algorithms and write programs to achieve, and the programmer's ability to write the most cattle is to write concise and efficient code to realize people's dreams of many wonderful, the stronger the coding ability of the programmer the more likely to become a good big data engineers.

Secondly, big data engineers need statistics and applied mathematics related ability background, data mining and analysis is needed to design data models and algorithms, it should be said that programmers have this foundation, I've seen the most powerful programmers are generally not science class out of the programmers are usually math majors, so improve the algorithmic design ability is a key factor in the transformation of programmers into big data engineers.

Third, big data engineers need to have a business knowledge of an industry, big data mining and analysis should ultimately serve the market, and the sales of products and the development of enterprises to play a significant role in promoting, that is valuable big data analysis, so big data can not be detached from the market, it must be combined with the application of a particular industry is easy to produce greater value, usually the programmer Usually programmers are doing an industry software, after years of learning and honing, the business knowledge of an industry is accumulated, so from this point of view, programmers are very easy to transition to big data engineers.