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

There are a lot of people who are interested in this thing, but they don't know much about programming languages.

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

I personally summed up the zero basic learning big data's words can be divided into the following steps:

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.

Here I still want to recommend the big data Learning Exchange Group I built myself: 529867072, all of them are developed by big data. If you are studying big data, the editor welcomes you to join us. Everyone is a software development party. Irregularly share practical information (only related to big data software development), including the latest big data advanced materials and advanced development tutorials sorted out by myself. Welcome to join us if you want to go deep into big data.

The study of computer programming language.

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: Rgraine programming Java and so on. At present, most institutions teach JAVA, and I learned it myself through 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.

The study of big data 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 part of the courses, including introduction to big data technology, high-level analysis language for mass data, mass data storage distributed storage, and mass data analysis distributed computing, Linux,Hadoop,Scala, HBase, Hive, Spark and other professional courses. These courses are essential if you want to learn big data completely.

The actual combat stage.

Needless to say, 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 the memory of the relevant knowledge. in the future application, we can also get started faster and have experience in how to use the relevant knowledge. At present, there may not be too many practical projects that you can operate, but there are some training institutions with better resources that have a large number of practical big data projects. Another advantage of choosing this kind of organization is that we can learn some experience from our teachers. In the process of actual practice, the teacher will teach you some corresponding skills, or according to their experience, teach you some shortcuts.

Generally speaking, 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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