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

Big data as a promising, well-paid new industry, many people with zero foundation also came up with the idea of learning from big data, followed by some questions such as whether I can learn from big data if I am not a computer major. Is it suitable for me to learn the skills of big data? What exactly does big data want to learn? Wait, a series of questions. Next, let's talk about the problems that need to be considered before learning from the perspective of learning big data with zero foundation.

First of all, let's talk about the basic requirements for learning big data. Academic qualifications need to be college or above, because this is the minimum academic requirement for enterprises to employ people. It is better for learners to be 20-32 years old. If they are not in this age group, I am afraid they need to be analyzed in detail according to their actual situation.

As a zero-foundation person before learning big data, especially for non-computer majors, they will worry about whether it is difficult to learn if the major is not right. In fact, big data, as an emerging technology, even a learner with experience in java development, is also a novice in learning the real big data technology, but it is true that they will be faster than Xiaobai in the early entry, which can save the basic part of learning. As a person with zero foundation, he still needs to learn from the beginning. although the study time is longer, slow workers can do fine work, so it is necessary to lay a solid foundation.

Here the editor has built a big data learning exchange QQ group: 251956502, I have sorted out the latest big data advanced materials and advanced development tutorials myself. If you want to do anything, you can join the group to study and communicate together.

People with zero foundation need to comprehensively consider their learning willingness and motivation before learning. Once they have made up their mind, they should adjust their mindset and set out. For those with zero foundation, in the face of a new field of knowledge, they will inevitably feel strange. They do not know whether they are suitable for learning and whether they can learn it or not. It is easy to have an impetuous mind.

Before deciding to study, people with zero foundation can first go to the relevant forums and websites to learn some basic knowledge of big data, try to teach themselves, test whether they are interested in learning, and evaluate whether they can continue to learn. once you are determined to enter the world of big data, you should be prepared to work hard. After all, there is no room for carelessness in learning.

Since the zero basics do not have any experience in computer technology, they need to start from scratch, starting with the basic Java language and Linux operating system courses, and then come into contact with big data-related technologies. First, learn Hadoop, need to learn its HDFS,

The components of MapReduce and YARN, learn this, and then learn knowledge such as Zookeeper,Mysql,Sqoop,Hive,Oozie,Hbase,Kafka,Spark in order.

After learning all these big data's technical knowledge, the most important thing is to combine theoretical knowledge into practical projects and do hands-on project training, which generally includes JAVA project, big data project, enterprise big data platform, and so on. In fact, the experience of participating in the project is equivalent to work experience, which can help big data students to better meet the needs of enterprises and enhance their competitiveness.

It is not difficult to learn big data with zero basics. The key lies in hard work and persistence. As the saying goes, "as long as the kung fu is deep, the iron pestle becomes a needle." none of the big data talents are born with big data's skills. They all rely on continuous learning and accumulation, unremitting efforts, step by step, so zero-foundation learners believe in themselves, strengthen their beliefs, and work hard. You must also become an outstanding talent in big data industry!

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