prikaz prve stranice dokumenta Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory
No public access
master's thesis
Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory

Elek, Antonia
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Elek, A. (2018). Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:737968

Elek, Antonia. "Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:737968

Elek, Antonia. "Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:737968

Elek, A. (2018). 'Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2020, https://urn.nsk.hr/urn:nbn:hr:168:737968

Elek A. Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2020 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:737968

A. Elek, "Procesiranje velikih količina podataka o sportskim događajima korištenjem tehnologije Microsoft Azure Data Factory", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:737968

Islandora Bookmark - Please login to use this feature