There is still a lot of work in the field of big data, especially the development of big data, which is gradually covering from the development of big data platform to the development of big data applications, which is also the inevitable result of the comprehensive application of big data.
Judging from the recruitment in the fall of 20 19, the number of big data development jobs is obviously more, which requires not only R&D talents but also applied talents, so there are more employment opportunities for this material student.
Big data work
1, big data system architect
Big data platform construction, system design and infrastructure. Skills: computer architecture, network architecture, programming paradigm, file system, distributed parallel processing, etc.
2. Big data system analyst
Facing the actual industry field, we use big data technology to manage, analyze and apply the data security life cycle. Skills: artificial intelligence, machine learning, mathematical statistics, matrix calculation, optimization method.
3.hadoop development engineer
Solve the problem of big data storage.
4. Data analyst
Professionals in different industries who specialize in collecting, sorting out and analyzing industry data and conducting industry research, evaluation and prediction based on the data. In our work, we use tools to extract, analyze and present data to realize the commercial significance of data.
5. Data Mining Engineer
To discover laws from massive data, data mining needs certain mathematical knowledge, such as linear algebra, advanced algebra, convex optimization, probability theory and so on. Commonly used languages are Python, Java, C or C++, and I use Python or Java more myself. Sometimes write programs with MapReduce, and then process data with Hadoop or Hyp. If you use Python, combine it with Spark.