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

At present, the blockchain industry is cooling down, but the big data industry is still hot. Many people are full of interest in big data, but most of them have never come into contact with computer technology before and do not know much about the programming language. is it because these friends with zero foundation can't learn big data well? The answer is, of course, no.

Big data's learning is not unfathomable, although it is not very simple, but through efforts, even friends with zero foundation can fully master big data.

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Big data generally has the following steps to learn zero basics:

1. Understand big data's theory

To learn from big data, you should at least know what big data is and what fields big data is generally used in. Only if you have a general understanding of big data, can you know whether you are interested in big data or not. If you start to study if you know nothing about big data, you may learn to find out that you don't like it. This is a waste of time and energy, and maybe a waste of money. So if you want to learn from big data, you need to have a general understanding of big data.

2. Study of computer programming language

How to learn the introduction of big data

For friends with zero foundation, it may not be too easy to get started. Because of the need to master a computer programming language, we all know that there are many computer programming languages, such as: Rmaine Centro Java and so on.

At present, most organizations teach JAVA, and we all know that Java is one of the most widely used network programming languages. He is easy to learn and easy to use, if you have studied the C++ language, you will think C++ and Java are like, because many basic sentences in Java have the same syntax and C++, like the commonly used loop statement, control statement, and C++, in fact, Java and C++ are two completely different languages, Java only need to understand some basic concepts, you can use it to write applications suitable for a variety of situations. Java omits vague concepts such as operator overloading and multiple inheritance, and many concepts that are easy to be confused in C++ are abandoned by Java or implemented in a way that is clearer and easier to understand, so the Java language is relatively simple.

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.

3. The study of big data's related courses

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.

4. Actual combat projects

How to learn the introduction of big data

There is no doubt that after learning any technology, the final actual combat training is the most important. The operational training of some practical projects can help us to better understand what we have learned, and at the same time, it can also strengthen our memory for relevant knowledge. in the future application, we can also get started faster and have experience in how to use the relevant knowledge.

To sum up, zero-basic learning big data is probably divided into these four stages, learning big data is not an easy task, but as long as you can work harder, actively solve your doubts and practice more, I believe you will be able to master this skill.

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