For the big data industry, we more or less have a certain understanding, but there is an in-depth understanding of the partners, or a minority. Someone left a message and asked the author that they want to learn big data, ask big data engineers to learn English? An interesting question. In this article, we will talk in detail, big data engineers to learn English, this topic, IT training to eliminate the doubts in your mind.

1: There is an English foundation is certainly good, there is no matter, this can be slowly accumulated. Learning big data is the most important or your logical thinking, is not very clear, analyze the data is not very organized. Although a lot of documents are in English, but really can be practical to the English, there are only so many, far from four or six so difficult. Besides, practice makes perfect, more contact, naturally, we do not have to worry.

2: It's not hard to learn big data, even if you don't have an English foundation. But the learning process you have to work hard, you have to take the initiative to learn on your own. Qualified big data engineers need to be familiar with Hadoop/Spark/Hbase and other ecological related products, practical project experience; solid JAVA/SCALA development capabilities, familiar with linux systems, understanding of python/shell and other scripting languages and so on.

3: In addition, big data engineering also need to have a certain big data platform tuning, troubleshooting capabilities; familiar with big data platform architecture, ETL, data warehouse, etc. have a certain understanding of skills. These are not very much associated with the English language, want to learn big data friends can rest assured to learn. If you attend a professional training course, you will learn to be more efficient!