1. Introduce the commonly used theories and algorithms of data mining, which is also the focus of most commercial training institutions.
2. The actual case of big data mining, with a real case of their own enterprises for end-to-end explanation, so that students have a deeper understanding of data mining.
3. Introduce the use of SPARK data mining platform, which is also practical, using SCALA language, and the class time is 16 hours.
Extended data
Application development:
To develop your own application based on many components of the big data resource pool and big data platform, you need to provide training in application design specifications, environmental integration schemes, component calling methods, etc. You can complete your own application by building blocks. This model is very demanding, but its value can be expected.
There are three courses involved here, namely, big data application development stage, big data real-time computing solution and case explanation, big data product construction experience sharing and case explanation.