Algorithms for massive datasets

master · University of Milan · Lectures are in English · 6 credits · 48 hours

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

Expected results

Students:

will be able to use technologies for the distributed storage of datasets;
will know the MapReduce 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.