CS 560: Large-Scale Data Management (HWS18)

Organization

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

Content

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 databases (tentative)

Lecture Notes

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

Literature
H. Garcia-Molina, J. D. Ullman, J. Widom
Database Systems: The Complete Book
Prentice Hall, 2^nd ed., 2008
L. Wiese
Advanced Data Management: For SQL, NoSQL, Cloud and Distributed Databases
De Gruyter, 2015
T. Öszu, P. Valduriez
Principles of Distributed Database Systems
Springer, 3^rd ed., 2011
T. White
Hadoop – The Definitive Guide
O’Reilly, 4^th ed., 2015
Additional Literature
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

Literature

Additional Literature