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What does big data need to learn?
Big data has become the general trend. Many people want to learn big data and enter the big data industry. What does big data need to learn?

1, learning big data must first learn the basics of Java.

How to get started with big data learning quickly? Before learning the big data course, you must first learn the computer programming language. Java is the programming language foundation of big data learning, because big data development is based on commonly used high-level languages. In addition, learning hadoop and data mining requires programming languages. Therefore, if you want to learn big data development, it is essential to master the basics of Java.

2. Learning big data requires learning the core knowledge of big data.

Hadoop ecosystem HDFS technology HBASE technology Sqoop uses process data warehouse tool HIVE big data offline analysis Spark, Python language data real-time analysis Storm.

If you compare big data to a container, the capacity of this container is infinite, and everything can go in. Big data is inseparable from the Internet of Things and the mobile Internet. Big data is inextricably linked with artificial intelligence, cloud computing and mechanical learning. If the big data storage of big data is highly expanded, cloud computing is essential. The calculation and analysis of big data adopt traditional mechanical learning and data mining technology.

3. The ability to learn big data.

Mathematical knowledge, mathematical knowledge is the basic knowledge of data analysts. For data analysts, to understand some statistical descriptions, they need to have certain formula calculation ability and know the commonly used statistical model algorithms. For data mining engineers, all kinds of algorithms also need to be skillfully used, which requires the highest mathematics.

Programming languages, for students who want to learn big data, at least SQL, hadoop, hive query, Python and other programming languages are needed.

4. Learn the applicable fields of big data.

Big data technology can be applied to public security big data, traffic big data, medical big data, employment big data, environmental big data, image big data, video big data and other fields, and it is widely used. Big data technology has penetrated into every aspect of life like 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 core technical driving force for the development of intelligent management in human society.