| Detailed information |
| Pre-requisites |
(*)Erwartete Vorkenntnisse: Grundlagen relationaler Datenbanksysteme
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| Original study plan |
Master's programme Business Informatics 2025W |
| Learning Outcomes |
Competences |
| See lecture of the same name.
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| Skills |
Knowledge |
| See lecture of the same name.
|
See lecture of the same name.
|
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| Criteria for evaluation |
Written exam
Elaboration, presentation and discussion of case studies and special topics.
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| 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.
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| Changing subject? |
No |
| Further information |
VL and UE Data Warehousing form an inseparable didactic unit. The learning outcomes described are achieved through the interaction of both.
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| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2WBMDWU: UE Data Warehousing (2004W-2014S)
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