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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

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

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

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

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

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 08 September 2024, https://urn.nsk.hr/urn:nbn:hr:200:247857

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 2024 September 08] Available at: https://urn.nsk.hr/urn:nbn:hr:200:247857

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

Metadata
TitleUsporedba 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
AuthorVedran Kluk
MentorDominika Crnjac Milić (mentor)
MentorZdravko Krpić (mentor)
Committee memberDominika Crnjac Milić (predsjednik povjerenstva)
Committee memberKrešimir Grgić (član povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
GranterJosip 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 country2018-09-18, 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 potencijalnim ponuditeljima programskog rješenja pilot projekta. Prikazana je usporedba potencijalnih ponuditelja rješenja te je utvrđeno da za potrebe distributera prirodnog plina najviše odgovara ponuditelj Qlik. Navedeni rezultati također pokazuju da preostali potencijalni ponuditelji nude kvalitetna programska rješenja.
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 distributer, the requirements for processing and storing the data collected are compiled and sent to the potential vendros. A comparison of the software packages provided by the potential vendors had shown that Qlik offers the best software package for the needs of the local natural gas distributor. The results also show that the other potential vendors also offer quality software packages.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:247857
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
Created on2018-10-17 10:45:52