Is it easy for big data engineers to do it?

Big data engineers have many subdivision directions, and different directions need different knowledge structures. Usually, big data engineers are divided into four specific work areas, namely, research and development of big data underlying platform, development of big data application, big data analysis and big data operation and maintenance.

What does a big data engineer do?

Analyzing history, predicting the future and optimizing choices are the three most important tasks for big data engineers to play with data.

Big data engineers need to build a data analysis platform based on Hadoop and Spark, and design and develop distributed computing services. Responsible for the construction, performance tuning and daily maintenance of the cluster environment of big data platforms (Hadoop, HBase, Spark, etc.). ).