[ 926BUSIDAW13 ] Module Data Warehousing

Es ist eine neuere Version 2023W dieses Fachs/Moduls im Curriculum Master's programme Economic and Business Analytics 2023W vorhanden.
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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
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.
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
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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