[revealing secrets] what on earth can you do after learning big data well?

The word big data has become a hot topic nowadays. Many people will say that this industry is very popular and has good employment prospects, but the students in colleges and universities don't know much about the industry and the market. Even if they study big data, they don't know what job they can find. Now the editor is here to help you solve this puzzle.

Big data can be widely used in the medical industry, energy industry, communications industry, retail industry, financial industry, sports industry and other industries to provide technical support for data collection, transmission, storage, analysis and other links. It is not only convenient and fast, but also produces great economic value within the industry, and those enterprises that provide big data infrastructure and big data software technical services have also developed rapidly.

After learning big data, we can do a lot of work, such as: hadoop R & D engineer, big data R & D engineer, big data analysis engineer, database engineer, hadoop operation and maintenance engineer, big data operation and maintenance engineer, java big data engineer, spark engineer and so on.

If you want to learn big data well, you'd better join a good learning environment. You can come to this Q Group 251956502 so that it is more convenient for everyone to learn, and you can also communicate and share materials together.

For example,

one

If you want to be a Hadoop development engineer

Then the skills you need to learn are:

a. Construct data analysis platform based on hadoop, hive, etc., design data platform architecture and develop distributed computing business.

b. The techniques of big data, data mining, analysis and modeling are applied to mine massive data and discover its potential association rules.

c. Pre-research and development of hadoop, hive, hbase and Map/Reduce related products

d. Through Hadoop related technology to solve the problem of massive data processing, large amount of data analysis.

E. optimize and improve the performance of Hadoop-related business scripts to continuously improve the running efficiency of the system

two

If you want to be a Hadoop operation and maintenance engineer

You need to have the following technical knowledge:

a. Deployment, maintenance and technical support of platform big data environment

b. Application fault processing tracking and statistical summary analysis

c. Application security, daily data backup and emergency recovery