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Principles of Databases and Data Analytics (UD)

Syllabus

1. Databases and their characteristics
2. Data models
3. Design, development and maintenance of databases
4. Design and development methodologies
5. CASE tools and Database Management Systems
6. SQL and PL/SQL languages
7. The use of databases for data analytics
8. Business intelligence architecture
9. On-line analytical processing (OLAP)
10. Associative analytics

Contacts

Jurij Jaklič

Office hours

Wednesday at 11:00

room RZ-404

Business portrait of Jurij Jaklič in the green atrium of the School of Economics and Business on a sunny day in June 2024