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

Now more and more people learn from big data, but do you know what conditions it takes to learn big data? Let me talk about four prerequisites.

Big data has now become the trend of the annual exhibition, and many people have chosen to learn from big data and want to enter big data's career. Big data technology system is huge, contains a lot of common sense, the system of learning big data can enable you to fully grasp big data's technology. What common sense do you need to master to learn big data?

1. To learn big data, you must first learn the foundation of Java.

How to get started with big data's study? Before learning big data course, you should learn a kind of computer programming language. Java is the programming language foundation of big data's learning needs, because big data's development is based on the commonly used high-end language. And whether it is learning hadoop, or data mining, all need to be based on programming language. Therefore, if you want to learn from big data development, it is essential to grasp the foundation of Java.

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.

2. To study big data, you must learn the common sense of big data Center.

Hadoop ecosystem; HDFS technology; HBASE technology; Sqoop application process; data warehouse east and west HIVE; big data offline analysis of Spark, Python language; real-time data analysis of Storm; audio subscription distribution system Kafka and so on.

If big data is compared to a container, then the capacity of this container is infinite and everything can be contained in it. Big data is inseparable from the Internet of things, mobile Internet, and big data is also inextricably linked with artificial intelligence, cloud accounting and machine learning. Big data massive data storage can not expand without cloud accounting, big data accounting analysis using traditional machine learning, data mining technology will be relatively slow Need to do parallel accounting and distributed accounting expansion.

What common sense do you need to master to learn big data?

3. The ability to learn the needs of big data

Mathematical common sense is the basic common sense of data analysts. About the data analyst, understand some content related to description calculation, need to have certain formula accounting ability, understand common calculation model algorithm. As for data mining engineers, all kinds of algorithms also need to be skillfully used, and the requirements for mathematics are the highest.

Programming language, for students who want to learn from big data, you need to have at least one programming language, such as SQL, hadoop, hive query, Python and so on.

4. Learn the areas that big data can use

Big data technology can be used in various fields, such as public security big data, traffic big data, medical big data, working big data, environment big data, image big data, video big data, and so on. Big data technology is now as permeated in all aspects of life as air. The emergence of big data technology has brought the society into an era of rapid development, which is not only the ultimate goal of information technology, but also the central technological driving force for human society to carry out intelligent management.

Therefore, it is advocated that students who want to learn from big data had better apply for class study, be able to systematically learn big data's theoretical knowledge, and will also be more adept at mastering big data's skills in combination with project practice.

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