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Business Intelligence and Data Warehouses I

Summary

The course is a follow-up to the Database and Information Systems 2 course with focus on applying the knowledge to the domain of Business Intelligence and Data Warehouse. The content of lectures is based on getting familiar with principles of Data Warehousing, data modelling specifics, design of respective layers of a data warehouse, data integration using SQL scripts and ETL tools, data transformations within respective layers of a data warehouse including final aggregations of data in order to be presented as business information in a graphical form and layout, or in a form of data extracts for further processing, where the second part of the course carries on in the next term. Another part of the course is the methodology for the solution design of a DWH and data integration projects. During practical sessions students will make use of the methodology in a practical example of data warehouse design and development in an SQL database environment within scope of their final work.

Literature

1. L. T. Moss, Shaku Atre: Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. 576p, Addison-Wesley Professional, 2003.

Advised literature

1. R. Kimball, M. Ross: The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. 600p, Wiley, 2013.
2. R. Kimball, J. Caserta: The Data Warehouse ETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data. 528p, Wiley, 2004.
3. C. Batini, M. Scannapieco: Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications). Springer, 2010.


Language of instruction čeština, angličtina
Code 460-4070
Abbreviation BI I
Course title Business Intelligence and Data Warehouses I
Coordinating department Department of Computer Science
Course coordinator prof. Ing. Michal Krátký, Ph.D.