Algorithms for Massive Datasets

The course aims at describing the big data processing framework, both in terms of methodologies and technologies.

Students:
- will be able to use technologies for the distributed storage of datasets;
- will know the map-reduce distributed processing framework and its leading extensions;
- will know the principal algorithms used in order to deal with classical big data problems, as well as to implement them using a distributed processing framework;
- will be able to choose appropriate methods for solving big data problems.