The golden age of learning
Generally speaking, 3-6 months is the golden period of learning for big data development engineers. Of course, if there is an experienced tutor, the study time may be shortened. In order to ensure your learning effect, I strongly recommend that you join a professional training institution. Here, you can start from the foundation, gradually deepen and lay a solid foundation.
A clear study plan
In the process of learning, it is very important to make a clear study plan. Learning without a plan is easy to fall into the whirlpool of laziness, which leads to the continuous extension of the learning cycle. When you are proficient in big data development, high-paying jobs will naturally wave to you.
Data collection skills
Big data development engineers need to master the skills of data acquisition, such as using distributed message queue Kafka, non-relational data acquisition system Flume, relational data acquisition tools Sqoop and Canel.
core technology
Big data development engineers need to understand and master the core technologies of big data, such as Spark, Storm, Hadoop, Flink and so on.
Data storage
In data storage, big data development engineers need to understand distributed file systems, distributed databases and various data storage formats.
Resource management and service coordination
Finally, don't forget to learn about resource management and service coordination, such as YARN and ZooKeeper.