Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije

Kluk, Vedran

prikaz prve stranice dokumenta Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije

master's thesis

Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije

Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. urn:nbn:hr:200:247857

Kluk, Vedran

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Core Courses
Chair of Mathematics, Physics and Mechanical Engineering

Cite this document

APA 6th Edition

Kluk, V. (2018). Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije (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:200:247857

MLA 8th Edition

Kluk, Vedran. "Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije." 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:200:247857

Chicago 17th Edition

Harvard

Kluk, V. (2018). 'Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 03 April 2025, https://urn.nsk.hr/urn:nbn:hr:200:247857

Vancouver

Kluk V. Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2025 April 03] Available at: https://urn.nsk.hr/urn:nbn:hr:200:247857

IEEE

V. Kluk, "Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije", 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:200:247857

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:247857

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Metadata

Title	Usporedba Data Warehouse i Big Data principa te njihova primjenjivost na sustave daljinskog očitanja potrošnje prirodnog plina i električne energije
Title (english)	A comparison of Data Warehouse and Big Data principles and their application to systems of remote natural gas and electrical energy meter reading
Author	Vedran Kluk
Mentor	Dominika Crnjac Milić (mentor)
Mentor	Zdravko Krpić (mentor)
Committee member	Dominika Crnjac Milić (predsjednik povjerenstva)
Committee member	Krešimir Grgić (član povjerenstva)
Committee member	Zdravko Krpić (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Core Courses) (Chair of Mathematics, Physics and Mechanical Engineering) Osijek
Defense date and country	2018-09-18, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Data Processing
Abstract	U daljinskom očitanju prirodnog plina prikuplja se velika količina podataka, zbog toga se u tvrtkama koje se bave time javlja problem kako te podatke skladištiti i obraditi. U novije vrijeme dvije osnovne tehnologije koje se pojavljuju u tu svrhu su Data Warehouse i Big Data te svaka od njih omogućuje različitu tehniku obrade podataka; Data Warehouse serijski obrađuje podatke dok Big Data koristi paralelnu obradu podataka. Za potrebe pilot projekta sastavljeni su zahtjevi koji će biti poslani... More
Abstract (english)	In the remote reading of natural gas, a large amount of data is collected causing the problem of storing and processing such a type of data for the companies involved. More recently, two main technologies that appear for this purpose are Data Warehouse and Big Data, and each of them provides different data processing techniques; Data Warehouse uses serial data processing while Big Data uses parallel data processing. For the purpose of pilot project, in colaboration with the local natural gas... More
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:247857
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Created on	2018-10-17 10:45:52

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