This course is aimed at equipping students with the ability to manage very large data sets (Big Data) using a cluster of commodity machines with the main focus on the Hadoop ecosystem. It has three specific objectives: (1) to familiarize students with software systems and techniques for implementing distributed data-parallel programs, (2) to provide insight into internal mechanisms of large-scale data analytical systems, and (3) to acquaint students with big data solutions deployed in real-world settings. Students will also have the opportunity to analyse and to compare real-world big data solutions in a class project case study.

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.