Data Warehousing

• 13 hrs lectures
• 26 hrs exercises

• 60 pts final exam (written part)
• 20 pts mid-term test (written part)
• 20 pts seminars in computer labs

Understanding the basic theory of data warehouses and acquirement of practical skills in their design and usage, understanding the basics of OLAP techniques and data mining.
Students understand the importance of data warehouses, OLAP techniques and data mining and are able to use it.

Database systems

• Ponniah, P.: Data Warehousing Fundamentals. John Wiley & Sons, Inc., 2001, 516 s. ISBN 0-471-41254-6

• Humphries, M., Hawkins, M. W. a kol.: Data warehousing, Principy a praxe. Computer Press, 2002, 256 s. ISBN 8072265601.

1. Basic terms of data warehousing. Relationship of data warehouses and operational databases.
2. Architecture of a data warehouse. Modelling of data warehouses.
3. ETL process during creating data warehouse.
4. OLAP tachnics and OLAP operations over a data cube.
5. A case study about using of data warehouses.
6. Introduction to the design of data warehouses.
7. Introduction to data mining in data warehouses.

1. Repetition of relational databases and SQL.
2. Data warehousing and OLAP usage analysis in Microsoft tools.
3. Use MS Excel for OLAP analysis.
4. Individual project to create a data warehouse.
5. Use of methods data mining tools in an environment of Microsoft.
6. Individual project on data mining.

During the semester, students can obtain up to 40 points, including 20 points from the mid-term test consisting of questions and examples of the themes of the first half of the semester and 20 points from the projects to exercise (one to create a data warehouse and OLAP usage techniques and the other on data mining). On the credit you need to get 20 points. Final written exam for 60 points includes all topics covered in lectures and in seminars.
Design and presentation of projects in due dates. Students can work on the projects in their own free time.