CS 560: Large-Scale Data Management (HWS 2020)


The course will be held digitally. Details are discussed in the kickoff lecture on Sep 29, 10:15-11:45, in WIM-ZOOM-01.


This course introduces the fundamental concepts and computational paradigms of large-scale data management and Big Data. This includes methods for storing, updating, querying, and analyzing large dataset as well as for data-intensive computing. The course covers concept, algorithms, and system issues; accompanying exercises provide hands-on experience. Topics include:

  • Parallel and distributed databases
  • MapReduce and its ecosystem
  • Spark and dataflows
  • NoSQL databases
  • Stream processing (tentative)
  • Graph processing (tentative)

Lecture Notes

Lecture recordings, lecture notes, exercises, and supplementary material can be found in ILIAS.