Is big data java?

When it comes to Java or big data, many people understand it at a glance, but they are somewhat confused about such a new term as Java big data. So are the content of Java and Java big data learning the same? What's the difference between the two?

What is the difference between Java and Java Big Data?

1. The relationship between Java and big data:

Java is a programming language for computers; it can be used to do a lot of work, big data Data development belongs to one of them; big data belongs to the Internet direction, just like the current AI direction based on big data. They are not the same type, but belong to the relationship of inclusion and being included;

Java can It is used to do big data work. It is not necessary to use Java for big data development or application. Python, Scala, go language, etc. can be used.

Currently the most popular big data development platform is Hadoop, and Hadoop is written in Java language. On the one hand, due to the historical reasons of hadoop, the Hadoop project was born from a Java master; on the other hand, it also has the advantages of Java's cross-platform aspect; based on these two reasons, Hadoop adopts the Java language. But also because Hadoop uses Java, "Java big data" appeared.

Java is a familiar programming language, and big data is the star technology of today’s technology. Java big data is the combination of Java and big data. It can also be said to be the transition stage from Java programmers to big data programmers.

2. From the perspective of courses, the difference between Java and Java big data:

Java learning courses: Java basics (Java object-oriented, commonly used basic classes, threads I/O, exception handling, etc.), JavaWeb (HTML5, CSS3, Javascript, jQuery, JDBC connection pool, servlet, etc.), Java framework (Struts2, Hibernate5, JPA, Spring4, BootStrap, svn & git & Jenkins continuous integration, etc.).

Java big data learning course: It is based on the Java course and adds some basic big data technical knowledge, so that you can not only be proficient in Java, but also master some big data technical knowledge. For example, advanced Java tutorials such as the evolution of billion-level concurrency architecture, Linux basics, building a tomcat environment, and big data development cloud computing are high-end knowledge of Java technology.

3. From the perspective of future development, the difference between Java and Java big data:

The development of Java engineers: junior Java engineers, intermediate Java engineers, senior Java engineers Engineer;

The future development of Java big data engineers, compared with Java, has an additional direction of big data, which is beneficial to learners who want to transform into big data engineers.

Because you want to become a big data engineer, you need a certain programming foundation, and the Java language is a commonly used development language for big data technology now, so Java big data is the foundation course for learning from big data.

To sum up, Java big data is an upgraded version of Java. To learn big data, you must have a Java foundation. If you have zero foundation, you can also start learning from Java and gradually master big data, and your salary will be higher.

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