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

Java is the programming language foundation of big data learning, because the development of big data is based on commonly used high-level languages. And whether it's learning hadoop,

2. Learning big data must learn the core knowledge of big data.

Hadoop ecosystem; HDFS technology; HBASE technology; Sqoop usage process; Off-line analysis of big data in data warehouse tools HIVESpark and Python language; Data real-time analysis of storms; Message subscription distribution system Kafka, etc.

3. The ability to learn big data.

Mathematical knowledge, mathematical knowledge is the basic knowledge of data analysts. For data analysts, to understand some descriptive statistics, 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, and the requirements for mathematics are the highest.

4. Understand the areas where big data can be applied.

Big data technology can be applied in various fields, such as public security big data, traffic big data, medical big data, employment big data, environmental big data, image big data, video big data and so on. , widely used.