What kind of existence does the Java language have for big data?

First of all, there are indeed many development positions in the field of big data. In the past two years, many graduate students in the field of big data will also be engaged in big data development positions, and the Java language is a common tool for big data developers. For data development positions, you can focus on learning the Java language.

There are two types of positions in big data development. Different positions have different requirements for Java programming skills. The requirements for big data platform development positions are relatively high, while the requirements for big data application (industry scenarios) development positions for Java programming are not the same. high. For beginners, you should make a Java learning plan in combination with your own development plan.

If you want to engage in a big data application development position, you can make a learning plan according to the Java Web development route. The overall learning content can be divided into the following three parts:

First: Java object-oriented development foundation. The object-oriented development foundation of Java can be divided into two parts. One is the grammar foundation of Java, including encapsulation, inheritance, polymorphism, multi-threading, etc. In the process of learning, it is necessary to fully understand the programming process of Java to form a preliminary The second is Java's pattern programming. Mastering some classic programming patterns can promote the rapid growth of beginners, and the usability of the code will also be significantly improved.

Second: JavaWeb development foundation. Learning Java Web development is mainly to improve the technical landing ability of developers. Many big data development tasks ultimately need to be presented in the form of Web, so we must pay attention to the learning of Java Web development related knowledge. The current Spring series of frameworks are widely used in the field of web development, and you can start learning from SpringBoot.

Third: big data platform interface. Learning big data development is inseparable from the support of the big data platform, so in the process of learning, you should gradually understand the programming interface provided by the big data platform, so as to complete some development experiments based on the big data platform.

It's a cliché to mention the speed at which technology is evolving. Java has been around for over two decades in technology and is the most "nasty" technology out there. If you look closely at various programming languages, operating systems, and databases, little has changed over the past few years. We can see a lot of progress as the new technology field with big data and IoT develops.

However, Java remains the backbone of many Java developers' big data tools. In fact, since some of the core modules of the big data tools used by Java developers are written in Java, it is a natural fit for big data. More interestingly, most of these big data tools for Java developers are open source. Therefore, they are easy to access.