What aspects should be paid attention to in big data training

With the continuous improvement and development of big data development technology, the expansion of employment prospects in the big data development industry is obvious to all, and it is also an indisputable fact. Beginners with different foundations also have many entry points for learning big data development technology, so The choice of development direction is also different. For liberal arts students to learn big data development technical knowledge, they can choose a more reliable big data training institution to study, and they can learn well.

For the zero-based liberal arts students to learn big data development technology, there is indeed a certain degree of difficulty, mainly in the following three aspects:

One is that small partners need to learn a lot of knowledge, and the corresponding learning cycle is relatively long;

The second is to face a large number of actual project practice cases;

The third is to learn a certain amount of industry knowledge. After all, the relationship between big data development and industry scenarios is very close.

At present, there are two employment directions for big data development. One is to engage in the development of big data platforms, and the other is to engage in the development of big data applications. After big data development technology, the direction of big data application development is a better choice, and the difficulty will be relatively small. Learning big data application development needs to go through three stages. The first stage is to learn programming language, the second stage is to learn big data platform knowledge, and the third stage is to practice scenarios. These are in the learning process of big data training courses Basically it will be involved.

The java development language is the basis for learning big data development technology, so it is recommended that small partners start learning from the java development language. At present, the java development language is widely used in the IT Internet industry, and the cases that can be referred to in the learning process are also more.

In the process of learning in big data training institutions, learning big data platform is a very important link. Beginners can start learning from open source platforms such as Hadoop and spark. However, due to the large amount of content and certain difficulties, Therefore, in the process of learning in big data training institutions, small partners should communicate with teachers and classmates in various aspects to learn better programming thinking from others.

Finally, if you want to learn big data development technical knowledge more systematically, you must need a learning method that suits you. This requires you to learn to reflect and summarize in the continuous learning process, and constantly explore the learning methods that suit you. One's own development direction, learn by using, improve one's own learning efficiency and job competitiveness.

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Origin blog.csdn.net/zjjcchina/article/details/129090339