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Map Reduce as a Processing Technique for Large Quantities of Semi-structured Data
Mario Nikolaus (2015)
University of Zagreb
Faculty of Organization and Informatics
Department of Theoretical and Applied Foundations of Information Sciences
Cite this document...

Nikolaus, M. (2015). Map Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:489885

Nikolaus, Mario. "Map Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:489885

Nikolaus, Mario. "Map Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2015. https://urn.nsk.hr/urn:nbn:hr:211:489885

Nikolaus, M. (2015). 'Map Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 21 July 2019, https://urn.nsk.hr/urn:nbn:hr:211:489885

Nikolaus M. Map Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2015 [cited 2019 July 21] Available at: https://urn.nsk.hr/urn:nbn:hr:211:489885

M. Nikolaus, "Map Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:211:489885

Metadata
TitleMap Reduce kao tehnika za obradu velikih količina polustrukturiranih podataka
Title (english)Map Reduce as a Processing Technique for Large Quantities of Semi-structured Data
AuthorMario Nikolaus
MentorMarkus Schatten (mentor)
MBZ: 291806
Committee memberMiroslav Bača
MBZ: 235084
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Theoretical and Applied Foundations of Information Sciences)
Varaždin
Defense date and country2015-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract

Ovaj diplomski rad opisuje polustrukturirani model podataka i tehniku MapReduce kroz implementaciju aplikacije napisane u Node.js i MongoDB tehnologijama. Aplikacija prikuplja i analizira podatke iz Twitter API-a i u oblik nadzorne ploče prikazuje izvedene analize.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:489885
Study programmeTitle: Baze podataka i baze znanja
Study programme type: sveučilišni
Study level: diplomski
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsRestricted access
Terms of usehttp://creativecommons.org/licenses/by-nc-nd/3.0/
Created on2017-01-26 09:44:17