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 12:00
Office: RZ-404
Office hours only by prior appointment. Zoom meetings are possible outside official office hours.
