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master's thesis
Arhitekture big data sustava stvarnog vremena
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. urn:nbn:hr:200:153753
Čamagajevac, Alen
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

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Čamagajevac, A. (2018). Arhitekture big data sustava stvarnog vremena (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:153753

Čamagajevac, Alen. "Arhitekture big data sustava stvarnog vremena." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:153753

Čamagajevac, Alen. "Arhitekture big data sustava stvarnog vremena." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:153753

Čamagajevac, A. (2018). 'Arhitekture big data sustava stvarnog vremena', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 18 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:153753

Čamagajevac A. Arhitekture big data sustava stvarnog vremena [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2025 March 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:153753

A. Čamagajevac, "Arhitekture big data sustava stvarnog vremena", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:153753

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Metadata
TitleArhitekture big data sustava stvarnog vremena
Title (english)Big data real-time systems architecture
AuthorAlen Čamagajevac
MentorAlfonzo Baumgartner (mentor)
Committee memberAlfonzo Baumgartner (predsjednik povjerenstva)
Committee memberTomislav Keser (član povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2018-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Information Systems
Abstract
Korištenjem principa serijske obrade podataka te obrade toka podataka moguće je dizajnirati sustave koji mogu obraditi veliku količinu podataka i korisnicima dati rezultate u realnom vremenu. Lambda arhitektura se u ovom slučaju osobito ističe. Prikazana je primjena ove arhitekture te se naglasak stavio na skalabilnost koju ovakva arhitektura pruža.
Abstract (english)
By using principles of batch data processing and data stream processing, it is possible to design systems that can handle large volume of data and give users results in real time. Lambda architecture can be effectively utilized in this case. Usage of this architecture is shown and scalability that it can offer is highlighted.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:153753
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFaculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on2018-10-19 10:14:23
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