Inhalt

[ 926BUSIDAW13 ] Module Data Warehousing

Versionsauswahl
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 2013W
Objectives Students are enabled to apply methods and tools for integrating large amounts of data - particularly business and web data - to an Enterprise Data Warehouse, and to analyze this data. They know the reference architecture of data warehousing systems, and OLAP languages. The students are able to plan, design and implement data warehouses.
Subject Reference architecture of data warehousing systems; multidimensional data model; conceptual, logical and physical design process of data warehouses; data extraction, cleaning and storage techniques; OLAP languages and tools; security aspects; distributed data warehousing; case studies and practical scenarios, with a particular focus on Web warehousing.
Further information Lecture and exercise can be combined to one course.
Subordinated subjects, modules and lectures