Shulou(Shulou.com)06/01 Report--

This article mainly explains "how to choose Java and big data". The content in the article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn how to choose Java and big data.

I. the relationship between Java and big data

Java is a language, while big data is more like a methodology or a collection. Engaged in big data industry, need to master more skills, and java is a must to master, to take a simple example: to do big data's work requires Yongda hadoop, and hadoop is achieved through the java language.

If you look at these two aspects alone, JAVA and big data both have their own advantages. But from a broader perspective, for example, from the perspective of national policy: obviously, the current state support for big data industry is very large, and after careful study, it can be found that at present, a large number of companies in emerging science and technology industries have been produced in China's market, and these emerging technology companies have a great demand for big data talents, so the state attaches great importance to the cultivation of talent gaps in order to support them.

Second, the employment of Java and big data:

In terms of employment and industry prospects:

Throughout the major job advertisements in the market, the salary developed by big data has reached a high level and will continue to rise in the future. And at present, big data industry is still in the initial stage of development, in the future development process, the division of labor of big data industry will be refined, so its development potential is huge.

Big data talent gap has now exceeded one million, so if you want to join the Internet industry, then big data is definitely your first choice. And it is precisely because of its strong demand for talents, so relatively speaking, big data industry is easy to obtain employment, and the salary is high. In the future, with the emergence of big data industry segments, employment opportunities will be greatly increased.

III. Salary comparison between Java and big data

From the perspective of employment salary and treatment, the difference between Java and big data:

The employment direction of Java is single, and the salary of Java on the market is the basic level of Java programmers. But if you have studied big data, mastered big data's skills, and become big data's engineer, you will have a wider range of jobs in the future. You can not only work in Java, but also dabble in big data's work. Because you have dabbled in big data's technical knowledge, you will have more capital to talk about salary.

Big data industry is now visible to the naked eye, and the treatment of its related positions is, of course, rising tide lifts all boats. According to the survey, the average salary of related positions in big data has exceeded 20K a month in first-tier cities.

So, if your future career plan is to enter the environment of the Internet and want to work hard in this industry, then the suggestion is to choose a relatively new industry, because it belongs to the sunrise industry in the future and has great potential for development. if you seize the opportunity, it is tantamount to winning more possibilities for yourself.

Big data industry belongs to the sunrise industry, so there may not be too high requirements for you to join the industry at the beginning, it is easy to enter the industry, and the salary is high. When you enter the industry, you should take every step in a down-to-earth manner, lay a solid foundation and accumulate experience. In the later stage, with the accumulation of time, your own experience will begin to improve gradually, and it is easier to become a high-end talent. At the same time, compared with some old industries, there are fewer high-end talents and less competition.

Looking at JAVA from another direction, it already belongs to the established development industry, it is full of talents, supply exceeds demand, and promotion opportunities are few, almost all take time to raise up little by little, it is difficult to have sudden opportunities.

IV. Java and big data's study

Java is an old programming language, and Java development mainly learns the related technology of background development. Including environment building technology, database and web technology, mainstream framework technology (Spring MVC, MyBatis, Web Service, JQuery, etc.)

Big data only needs to learn a part of java.

We all know that the directions of Java are JavaSE, JavaEE and JavaME. Which direction do you want to learn from big data? You only need to learn the standard version of Java JavaSE, like others who don't use much, you just need to know.

5. The difference in learning direction between Java and big data

In terms of learning, JAVA learning and big data's learning, JAVA belongs to pure development, while big data pays more attention to data logic relations and is closer to the actual application. They are both medium-and large-scale projects. It is deeply related to business, data and other aspects.

Generally speaking, those who study JAVA may not be able to do big data, but those developed by big data can do JAVA to a certain extent, but big data's salary is high, and his job development opportunities, project development opportunities and entrepreneurial development opportunities are superior to JAVA, so few people are willing to choose to do JAVA development again.

Thank you for your reading, the above is the content of "how to choose Java and big data". After the study of this article, I believe you have a deeper understanding of how to choose Java and big data, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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