Currently, the technical system of big data has been very large, beginners should make learning plans according to their own development plans, the way to get started with big data should also be combined with their own knowledge base.

For students who want to enter the IT Internet industry to engage in big data development positions, the introduction of big data can start from the programming language, followed by learning the knowledge of the big data platform, and then combined with the big data platform to complete the scenarios to develop practice. In the choice of programming language, you can focus on the Java language, relative to other programming languages, the current demand for Java jobs is relatively large.

For students who want to engage in the algorithm post, the introduction of big data can also be divided into three stages, the first stage is the learning of programming languages, the second stage is to learn the basis of the algorithm, this stage needs to learn a bit of statistics, machine learning related knowledge, for the follow-up to lay a foundation, the third stage is to carry out algorithmic practice in conjunction with the scene, the stage also needs to master the big data platform. The third stage is to carry out algorithmic practice in combination with the scene, this stage also needs to master the big data platform.

If you just want to learn big data technology to improve their data power, itself does not engage in the idea of big data positions, then the introduction of big data can start from learning Python language, and then further learning based on the Python language to complete the data analysis, this process should also take into account the application of the scenario of the problem, can be combined with their own professional direction.

From the point of view of the entire technical architecture of big data, big data technology involves data collection, organization, storage, analysis, presentation, application and security and other areas, these areas can be used to learn the way to learn individually, for example, both from the beginning of the data collection can start to learn, can also be from the beginning of the data analysis to start to learn, but no matter from which area to start to learn, must pay attention to the combination of the scene and can't be The big data technology to learn out of the scene.

Lastly, if you have any questions related to learning big data, you can initiate a consultation with me.