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Course

NoSQL and big data advanced analytics

Compulsory6 ECTSSemester 360 h teachingTaught in Croatian

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.

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Learning outcomes

  1. solution for the problem
  2. solution for the problem
  3. hypothesis about optimal analytical solution
  4. different solutions
  5. 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:

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