Shulou(Shulou.com)06/03 Report--

Today, I would like to talk to you about how big data learns. Many people may not know much about it. In order to make you understand better, the editor has summarized the following contents for you. I hope you can get something from this article.

The first stage

For friends with zero foundation, it may not be too easy to get started. Because of the need to master a computer programming language, there are many computer programming languages. Java is one of the most widely used network programming languages. Big data needs some Java technology as the basic support before learning. Java only needs to understand some basic concepts and can use it to write applications suitable for various situations.

When learning Java, we generally need to learn these courses: the basics of HTML&CSS&JS,java, JDBC and database, JSP java web technology, jQuery and AJAX technology, SpringMVC, Mybatis, Hibernate and so on. These courses can help us to better understand Java and learn to use Java.

The second stage

After learning the programming language, you can generally learn some of big data's courses. Generally speaking, the time spent studying big data is shorter than that of learning Java. Big data courses, including introduction to big data technology, high-level analysis language for mass data, distributed storage for mass data storage, and distributed computing for mass data analysis, as well as professional courses for Linux,Hadoop,Scala, HBase, Hive, Spark and so on. These courses are essential if you want to learn big data completely.

After reading the above, do you have any further understanding of how big data studies? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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