The arrival of the era of big data has ignited people's discussion on big data. People are curious about big data. The deeper they understand big data, the more fascinated they are. Many friends want to know, what is big data learning? How to learn big data? Regarding these two questions, Shenzhen Beida Jade Bird Association will answer them one by one below, hoping to help you.

First, what does big data learn? We have learned a lot from big data, so what should we learn from big data at every stage of Bian Xiao? The first stage of Java programming, the second stage of database development, the third stage of web front-end development, the fourth stage of Javaee basic development, the fifth stage of JavaEE advanced framework development, the sixth stage of Linux system and shell script development, the seventh stage of python development, the eighth stage of hadoop structure and big data development.

Of course, the order of learning big data doesn't have to be in this order. Of course, you can choose by yourself, and the curriculum of big data training institutions in the market may be different.

This is just the general direction, and there are small directions, such as the study of database development. You need to master the basic knowledge of database foundation, database design, development and management, and master the use of SQL skillfully; Deeply understand the idea of ORM, skillfully use JDBC to solve the problem of data persistence, and so on.

Second, how to learn big data? Judging from the stage division of big data, the knowledge to be mastered by big data is quite complicated. How to learn big data? Self-study of big data with zero foundation is undoubtedly particularly difficult, and self-study of big data is not the best solution for learning big data.

The best and most popular way to learn big data is to participate in big data training.