Big data learning advice:
1, 0 Basic Xiaobai began to learn the Java language.
Because the current big data technology is mainly implemented in Java or based on Java, entering big data requires a Java foundation;
2.Java's development ability needs to be exercised through practical projects.
After learning the Java language, you often only master the basic operation of the Java language. Only through real project training can you further improve your Java development ability.
3. Big data development has obvious scenario requirements.
The development of big data is based on the upgrading of existing information systems, and it is a systematic process, including the construction of platforms, the storage of data, and the deployment of services. Great changes have taken place. To truly understand big data, there needs to be an accumulation process. For novices, first of all, it is necessary to build awareness of development scenarios, which will better understand the value and role of big data platforms.
4. Start with basic development.
For junior programmers, whether they master the development knowledge of big data platform or not, they start from basic development and develop an environment based on big data platform.
From the perspective of employment, big data development is a good choice. But I don't recommend learning big data out of practical application. Combined with the actual development tasks, it is better to learn while using.