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

• Lecturer: Prof. Dr. Rainer Gemulla
• Tutor: Adrian Kochsiek
• Type of course: Lecture, exercises (6 ECTS points)
• Prerequisites: Database Systems I or equivalent, programming experience
• Registration: Enroll in ILIAS

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

• H. Garcia-Molina, J. D. Ullman, J. Widom. Database Systems: The Complete Book. Prentice Hall, 2^nd ed., 2008
• T. Öszu, P. Valduriez. Principles of Distributed Database Systems. Springer, 4^th ed., 2020
• L. Wiese. Advanced Data Management: For SQL, NoSQL, Cloud and Distributed Databases. De Gruyter, 2015
• T. White. Hadoop – The Definitive Guide. O’Reilly, 4^th ed., 2015
• J. Lin, C. Dyer. Data-Intensive Text Processing with MapReduce. Morgan and Claypool, 1^st ed., 2010
• E. Redmond, J. R. Wilson- Seven Databases in Seven Weeks: A Guide to Modern Databases and the NoSQL Movement. Pragmatic Bookshelf, 2^nd ed., 2018
• P. J. Sadalage, M. Fowler. NoSQL Distilled. Addison-Wesley, 2012
• C. Strauch. NoSQL databases. Stuttgart Media University, 2011
• More in lecture notes