Big data can be engaged in the following directions after graduation:

1. Big data system architect

Big data platform construction, system design, infrastructure.

Skills: computer architecture, network architecture, programming paradigms, file systems, distributed parallel processing.

2. Big Data System Analyst

Oriented to actual industry domains, utilizing big data technology for data security lifecycle management, analysis and application.

Skills: artificial intelligence, machine learning, mathematical statistics, matrix calculation, optimization methods.

3. hadoop development engineer

Solve big data storage problems.

4.data analyst

Professionals in different industries who specialize in collecting, organizing, and analyzing industry data, and making industry research, evaluation, and prediction based on the data. By using tools in their work, they extract, analyze, and present data to realize the commercial significance of the data.

5. Data Mining Engineer

Doing data mining to discover the laws from the massive amount of data, which requires certain mathematical knowledge, basic such as linear algebra, advanced algebra, convex optimization, probability theory, etc.. Frequently used languages include Python, Java, C or C++. Sometimes the program will be written in MapReduce, and then Hadoop or Hyp will be used to process the data, and if Python is used it will be combined with Spark.

6. Big data visualization engineers, etc.

With the application of big data in people's work and daily life, big data visualization is also changing the way human beings read and understand information. From Baidu's migration to Google's flu trends to AliCloud's launch of county economic visualization products, big data technology and big data visualization are the heroes behind the scenes.