LFU:online

Wide understanding for the problems, concepts and techniques of data warehouse systems, their implementation in modern database systems and their application and importance in the economy. Specifically you will be able to understand and solve the most important problems and to autonomously elaborate more specialised content.

Architecture of data warehouse systems from a computer science perspective; reference architectures; multi-dimensional data model; multi-dimensional index structures; datawarehouses as in-memory Databases, OLAP and data mining

This lecture will be held as Inverted Classroom.
Partricipants prepare weekly short Talks.

Inherent examination mode (written elaborations and oral presentation as well as related questions). Written examination at the end of the semester.

- Bauer, Günzel: Datawarehouse Systeme. dpunkt (book)
- Köppen: Data Warehouse Technologien. mitp (book)
- Lehner: Datenbanktechnologie für Data-Warehouse-Systeme. dpunkt.verlag (book)
- Vaisman, Zimanyi: Data Warehouse Systems. Springer (book)

You must understand German at least as much, as to be able to
read and understand the german textbooks:
Bauer, Günzel: Datawarehouse Systeme
und
Köppen: Data Warehouse Technologien
(both available in the library)