Big Data

Big Data platforms is a 5 ECTS Master’s level advanced course. This course focuses on big data platforms and on key algorithmic ideas and methods used to implement them. After completing this course you are able to list many of the key technologies used in big data processing and to select suitable methods for solving challenging big data processing tasks using cloud computing technologies. You will also be able to compare the scalability and fault tolerance implications of using the selected methodologies.

Main topics are:

• distributed computing,
• Warehouse-Scale Computers,
• fault tolerance in distributed systems,
• distributed file systems,
• distributed batch processing with the MapReduce and the Apache Spark (PySpark) computing frameworks, and
• distributed cloud based databases.

The course material will consist of lecture materials and exercises provided by the lecturer.