- Lehrende/r: Gerald Krammer
- Lehrende/r: Andreas Windisch
- Lehrende/r: Michael Hammer
- Lehrende/r: Klaus Lichtenegger
- Lehrende/r: Raphaele Raab
- Lehrende/r: Debora Stickler
Students are able to design, plan and build modern data pipelines, beyond that students have a good understanding of purpose, significance, and challenges of ETL processes in data management.
Secondly, students will have a practical knowledge around OLAP and multidimensional data analysis, cubes and common patterns for effective data aggregation and analysis as well as OLAP operations.
Thirdly, students get to know solutions in the business intelligence domain for different personas.
- Lehrende/r: Andreas Juffinger
- Lehrende/r: Wolfgang Granigg
- Lehrende/r: Marco Tilli
- Lehrende/r: Michael Hammer
- Lehrende/r: Manfred Pamsl