prikaz prve stranice dokumenta Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima
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master's thesis
Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima
Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka, 2017. urn:nbn:hr:187:380827
Težak, Krešimir
University of Rijeka
Faculty of Maritime Studies
Department of Marine Electronics and Communications

Institutional repository: Repository of the University of Rijeka, Faculty of Maritime Studies - FMSRI Repository

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Težak, K. (2017). Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:380827

Težak, Krešimir. "Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2017. https://urn.nsk.hr/urn:nbn:hr:187:380827

Težak, Krešimir. "Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima." Master's thesis, University of Rijeka, Faculty of Maritime Studies, 2017. https://urn.nsk.hr/urn:nbn:hr:187:380827

Težak, K. (2017). 'Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima', Master's thesis, University of Rijeka, Faculty of Maritime Studies, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:187:380827

Težak K. Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies; 2017 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:187:380827

K. Težak, "Primjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:187:380827

Metadata
TitlePrimjena postupaka analize tijekovnih podataka kao podrška upravljanju procesima
Title (english)USING DATA STREAMING ALGORITHMS AS SUPPORT FOR MANAGING PROCESSES
AuthorKrešimir Težak
MentorMaja Matetić (mentor)
Committee memberDragan Čišić (predsjednik povjerenstva)
Committee memberBožidar Kovačić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies
(Department of Marine Electronics and Communications)
Rijeka
Defense date and country2017-11-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract
Rad se bazira na upoznavanju s konceptima obrade Big data i osnovnim uvodom u problematiku iza naziva Internet of Things (IoT). Praktični dio rada se fokusira na program koji je izrađen u Python programskom jeziku pa samim time i objašnjenje tog programskog jezika. Uz to, bavi se još upoznavanjem Hadoop ekosustava. Perspektivni dio se bavi mišljenjima i analizama o utjecajima i korištenjima Big data za koja danas znamo.
Abstract (english)
This paper is focused on the concept of Big data and introduction to Internet of Things (IoT). Practical part of this paper is focused on the program made in Python programming language and also contains explanation of the programming language. This paper will also present an introduction to Hadoop ecosystem. Perspective part is focused on thought and analysis about Big data uses, which are well known today.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:380827
Study programmeTitle: Marine Electronic Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektroničke i informatičke tehnologije (magistar/magistra inženjer/inženjerka elektroničke i informatičke tehnologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-07-16 06:28:39