[ 926BUSIDAWU14 ] UE Data Warehousing

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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Informatics Christoph Schütz 2 hpw Johannes Kepler University Linz
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)
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority