There are generally the following steps to learn big data from scratch:

Understanding the theory of big data

Computer programming language learning

Big data-related course learning

Real-world projects

1, understand the theory of big data

To learn big data you should at least know what big data is, big data is generally used in What is the field. There is a general understanding of big data, you can be clear about whether you are interested in big data or not, if you know nothing about big data to start learning, it is possible to learn to learn to find that they actually do not like, so a waste of time and energy, and may also be a waste of money. So if you want to learn big data, you need to have a general understanding of big data first.

2, the learning of computer programming languages

For friends with zero foundation, it may not be too simple to start at the beginning, big data learning is the need for the foundation of java, and for friends who have never touched the programming, to learn from scratch, it is necessary to take some time and patience.

Currently 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 very good to use, if you have learned the C++ language, you will feel that C++ and Java are very similar, because many of the basic statements in Java and the same syntax as C++, such as commonly used loops, control statements, etc. and C++ is almost the same, in fact, Java and C++ are two completely different languages, Java only need to understand some of the basic concepts, you can use it to write applications for all kinds of situations. Java omits fuzzy concepts such as operator overloading and multiple inheritance, and many of the confusing concepts in C++ are either discarded by Java or implemented in a clearer and easier-to-understand way, so the Java language is relatively simple.

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

Gammy Valley big data talent training system

3, big data related courses

After learning the programming language, you can generally learn the big data part of the course. Generally speaking, the time to learn the big data part is shorter than the time to learn Java. Big Data courses, including Introduction to Big Data Technology, Massive Data Advanced Analytics Language, Massive Data Storage Distributed Storage, and Massive Data Analytics Distributed Computing and other parts of Linux, Hadoop, Scala, HBase, Hive, Spark and other specialized courses. These courses are essential if you want to learn big data in its entirety.

4, the actual project

No need to say, after learning any technology, the last practical training is the most important, some of the actual project operation practice, can help us better understand the contents of the learning, but also for the relevant knowledge can also strengthen the memory, in the future use, but also can be faster on the hands of the relevant knowledge of how to use also have the experience.

The founder of Gamma Valley Big Data has more than five years of practical experience in big data projects, is a member of the National Big Data Standards Group, and Gamma Valley also has a large number of enterprises in the training base, the hands of the project is very much. The students who study in Gammy Valley can have access to the real projects of the enterprise, and the courses that fit the requirements of the enterprise employers + the real projects of the enterprise combat = high-paying employment in big data.

So generally speaking zero basis to learn big data is probably divided into these four stages, learning big data is not an easy thing, but as long as you can make more efforts to actively solve their own doubts, and more practice, then you can certainly master this technology.

If you want to learn but don't know how much big data development training costs, here is also a reference for you. Big data training classes in many ways, video, online live, offline small class teaching, these classes, certainly the effect of offline small class teaching is the best, the price will be correspondingly expensive, the industry price then are in the 20,000 or so. It is recommended that friends with zero foundation should not choose video or online courses, although cheap, but learning is the biggest waste! (If a class of 40, 50 people, we also need to pay attention to the teacher to come over so many people?