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master's thesis
Skladište podataka za analizu objava na Twitteru
2022. urn:nbn:hr:168:605452
Brajković, Bartul
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Brajković, B. (2022). Skladište podataka za analizu objava na Twitteru (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:605452

Brajković, Bartul. "Skladište podataka za analizu objava na Twitteru." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:605452

Brajković, Bartul. "Skladište podataka za analizu objava na Twitteru." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:605452

Brajković, B. (2022). 'Skladište podataka za analizu objava na Twitteru', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 March 2025, https://urn.nsk.hr/urn:nbn:hr:168:605452

Brajković B. Skladište podataka za analizu objava na Twitteru [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2025 March 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:605452

B. Brajković, "Skladište podataka za analizu objava na Twitteru", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:605452

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Metadata
TitleSkladište podataka za analizu objava na Twitteru
Title (english)A data warehouse for analysis of Twitter posts
AuthorBartul Brajković
MentorBoris Vrdoljak (mentor)
Committee memberBoris Vrdoljak (predsjednik povjerenstva)
Committee memberMirta Baranović (član povjerenstva)
Committee memberLjiljana Brkić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ideja ovog diplomskog rada je korištenjem suvremenih tehnologija računarstva u oblaku stvoriti cjevovod pomoću kojega će prikupljeni podatci postati korisne informacije. Dohvat podataka s različitih aplikacijskih programskih sučelja je automatiziran te se podatci pomoću također automatizirane procedure spremaju u unaprijed definirani model baze podataka. Konačno odredište cjevovoda je Power BI alat gdje se skladišteni podatci pretvaraju u interaktivne izvještaje.
Abstract (english)
The idea of this thesis is to use modern cloud computing technologies to create a pipeline through which the collected data will become useful information. Fetching data from various application programming interfaces is automated and the data are stored in a predefined database model using an also automated procedure. The final destination of the pipeline is the Power BI where the stored data are converted into interactive reports.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:605452
Study programmeTitle: Computing
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 conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-14 08:34:23
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