The excellent employment big data training course has six stages, namely: Java foundation, JavaEE core, Hadoop ecology, Spark ecology, project actual combat+machine learning, and employment guidance.

In the first stage of Java basic knowledge, the main knowledge points are: Java basic grammar, object-oriented programming, common classes and tools, collection framework system, exception handling mechanism, files and IO streams, mobile account management system, multithreading, enumeration and garbage collection, reflection, new features of JDK, and address book system.

In the second stage, the core of JavaEE, the main knowledge points are: front-end technology, database, JDBC technology, server-side technology, Maven, Spring, SpringBoot, Git.

In the third stage of Hadoop ecosystem, the main knowledge points are: Linux, Hadoop, ZooKeeper, Hive HBase, Phoenix, Impala, Kylin, Flume, SQOOP &；; DataX, Kafka, oozie & Azkabanhue, intelligent agricultural warehouse analysis platform.

The fourth stage of Spark ecosystem, the main knowledge points are: Scala, Spark, traffic monitoring project, Flink.

The fifth stage project actual combat+machine learning, the main knowledge points are: high-speed rail intelligent detection system, telecom recharge, China weather network, machine learning.

The sixth stage is employment guidance, which mainly includes pre-interview preparation and skills, professional guidance and re-examination to help students find jobs quickly.