| Detailed information |
| Pre-requisites |
(*)Erwartete Vorkenntnisse: Grundlagen relationaler Datenbanksysteme
|
| Original study plan |
Master's programme Business Informatics 2023W |
| Objectives |
See Data Warehousing module
|
| Subject |
See Data Warehousing module
|
| Criteria for evaluation |
Written examination as well as elaboration, presentation and discussion of case studies and special topics.
|
| Methods |
Students work in small groups to solve practical problems using the knowledge imparted in the lecture and exercise; presentation, discussion and documentation of the respective work results.
|
| Language |
German/English |
| Study material |
Literature:
- Vaisman, A.; Zimányi, E.: Data Warehouse Systems: Design and Implementation. Springer, current edition.
- Sherman, R.: Business Intelligence Guidebook: From Data Integration to Analytics. Morgan Kaufmann, current edition.
- Gorelik, A.: The Enterprise Big Data Lake. O’Reilly, current edition.
Supplementary literature, especially on specific tools and systems, will be announced each semester.
|
| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2WBMDWU: UE Data Warehousing (2004W-2014S)
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