What kind of job can you do after studying big data?

1.Big Data System Architect

Big data platform building, system design, infrastructure.

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

2.Big Data System Analyst

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

Skills:Artificial Intelligence, Machine Learning, Mathematical Statistics, Matrix Computing, 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, assessment, and forecast based on the data. In their work, they extract, analyze, and present data through the use of tools to realize the commercial significance of the data.

As a data analyst, you need to be proficient in at least one of the data analysis software such as SPSS, STATISTIC, Eviews, SAS, Big Data Magic Mirror, etc., and at least be able to develop databases with Acess, etc., and at least master a math software such as matalab, mathmatics for the construction of new models, and at least master a programming language. In short, a good data analyst should be business, management, analysis, tools, design are not left behind.

5. Data Mining Engineer

Doing data mining to discover the law from the massive amount of data, which requires a certain amount of mathematical knowledge, the basic such as linear algebra, higher algebra, convex optimization, probability theory and so on. 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 Engineer

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.

What to study in big data

Data science and big data technology belongs to the cross-discipline: statistics, mathematics, computers as the three major supportive disciplines; biology, medicine, environmental sciences, economics, sociology, management as the application of the expansion of the discipline.

In addition to learning data acquisition, analysis, processing software, learning mathematical modeling software and computer programming languages, etc., the knowledge structure is a two-specialty multi-purpose composite cross-border talent (professional knowledge, data thinking).

The above is for the introduction of big data professional direction,For students who have not yet gone to college, there is an opportunity to fight for enrollment in the big data profession, and for those who are already studying or have graduated, you can also participate in the big data training to enter the big data industry development, the two methods are suitable for different groups of people, the effect is not a big difference, through the training of the Maybe the project experience side will be a little more.

The big data industry has entered the "fast lane" of development, and there is an urgent need for a large number of excellent big data talent as a backing. To be able to enter the industry at the beginning of the rise of the big data industry to the industry, have the opportunity to become the tide of the times.