If you want to major in the direction of big data development, then you should focus on developing your own programming skills, and you can start with Java, which is still widely used in the field of big data development. If you want to major in the direction of big data operation and maintenance, then you should focus on learning a little network knowledge and operating system related knowledge, the content involved is also relatively, and to complete a large number of experiments.
The current big data analytics (algorithm) position is also a high value-added position, but unlike the development position and operation and maintenance positions, algorithmic positions are more competitive, so if you want to engage in algorithmic positions, it is best to continue to read a little graduate school. Algorithmic positions require a high level of math and statistics knowledge, and some knowledge of industry scenarios, so it often takes longer to build up an algorithmic position.
Finally, although learning big data technology requires a variety of different basic knowledge, but because there are so many positions in the field of big data, so a variety of beginners with different knowledge bases are able to find a suitable entry point for themselves.
About what are the requirements to learn big data technology, Aoto has shared with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.