Inhalt

[ 926BUSIDAWV14 ] VL Data Warehousing

Versionsauswahl
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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 (*)keine
Original study plan Master's programme Business Informatics 2022W
Objectives See Data Warehousing module
Subject See Data Warehousing module
Criteria for evaluation Written exam
Methods The course content is taught using blended learning methods, in particular flipped classroom, with interactive elements to consolidate knowledge.
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
On-site course
Maximum number of participants 200
Assignment procedure Assignment according to priority