[ 926BUSIDAW13 ] Module Data Warehousing
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| Es ist eine neuere Version 2023W dieses Fachs/Moduls im Curriculum Master's programme Economic and Business Analytics 2024W vorhanden. |
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| (*) Unfortunately this information is not available in english. |
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| Workload |
Mode of examination |
Education level |
Study areas |
Responsible person |
Coordinating university |
| 6 ECTS |
Accumulative module examination |
M1 - Master's programme 1. year |
Business Informatics |
Michael Schrefl |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Master's programme Business Informatics 2016W |
| Objectives |
Students are able to apply methods and tools for the integration of large amounts of data - particularly business and web data - in a data warehouse. Students know methods and tools for data analysis with data warehouses - particularly OLAP languages. Students know the reference architecture of data warehouse systems, are able to plan, design and implement data warehouse systems.
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| Subject |
Reference architecture of data warehouse systems; multidimensional data model; conceptual, logical and physical design process for data warehouses; extraction, cleaning and storage techniques for business data; languages and tools for OLAP; security aspects; distributed data warehousing; big data analytics
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| Further information |
Literature:
- Vaisman, A.; Zimányi, E.: Data Warehouse Systems: Design and Implementation. Springer, 2014.
- Sherman, R.: Business Intelligence Guidebook: From Data Integration to Analytics. Morgan Kaufmann, 2014.
Further reading will be announced each semester.
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