Course description
The course description is available in Croatian only.
- Uvod u big data analitiku i NOSQL baze
- Nestrukturirani izvori podataka i njihova obrada
- Open source rješenja za big data analitiku i
- NoSQL Open source rješenja za big data analitiku i
- NoSQL Uvod u analitiku socijalnih mreža i nestrukturiranih izvor podataka
- Procesiranje prirodnog jezika
- Procesiranje prirodnog jezika SNA metrike SNA metrike SNA metrike
- Rješavanje kompleksnih poslovnih slučajeva
When and where
The timetable and room occupancy are available after signing in with your TVZ account.
Sign in with TVZ accountLearning outcomes
- solution for the problem
- solution for the problem
- hypothesis about optimal analytical solution
- different solutions
- Solution in big data environment
Reading list
Required reading
- Ho, T., Taewijit, S., Ho, Q., & Dam, H. (2014). Big Data and Service Science. In M. Kosaka, & K. Shirahada (Eds.) Progressive Trends in Knowledge and System-Based Science for Service Innovation (pp. 128-144). Hershey, PA: Business Science Reference. doi:10.4018/978-1-4666-4663-6.ch007
Hu, W., & Kaabouch, N. (2014). Big Data Management, Technologies, and Applications (pp. 1-342). Hershey, PA: IGI Global. doi:10.4018/978-1-4666-4699-5
Miner, G. (2012). Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, Oxford, Academic Press
Course coordinators 1
Teaching staff 1
Exam dates
Exam dates for this academic year are not published yet. Last year's dates:
- 7. 2. 2026.Redovni rokpast
- 16. 2. 2026.Redovni rokpast
- 23. 2. 2026.Redovni rokpast
- 30. 6. 2026.Redovni rokpast
- 14. 7. 2026.Redovni rokpast
- 31. 8. 2026.Redovni rokpast
within 10 days within 30 days later past
Source: ISVU. Click a date to open Studomat and register; check it for changes too.