What does a big data engineer do?

Big data engineers mainly analyze history, predict the future and optimize choices, which are the three most important tasks for big data engineers to play with data.

Find out the characteristics of past events: A very important job for big data engineers is to find out the characteristics of past events by analyzing data. Finding out the characteristics of past events can help enterprises better understand consumers. By analyzing the user's past behavior trajectory, we can understand this person and predict his behavior.

Predict what may happen in the future: By introducing key factors, big data engineers can predict future consumption trends.

Find the best result: According to the business nature of different enterprises, big data engineers can achieve different goals through data analysis.

Extended data

What big data engineers need to learn.

1、linux

Big data cluster is mainly built on linux operating system, which is a Unix-like operating system and can be used and disseminated for free. And this part of the content is what everyone must learn when learning big data. Only by learning Linux well can we be more handy in our work.

2、Hadoop

I think everyone who has heard of big data must have heard of hadoop. Hadoop is a software framework that can process a large amount of data offline, and uses mapreduce to process data during operation.

Baidu Encyclopedia-Big Data Analyst