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master's thesis
Razvijanje podatkovoda za obradu velikih količina podataka
2022. urn:nbn:hr:168:343200
Lipovac, Ivona
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Lipovac, I. (2022). Razvijanje podatkovoda za obradu velikih količina podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:343200

Lipovac, Ivona. "Razvijanje podatkovoda za obradu velikih količina podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:343200

Lipovac, Ivona. "Razvijanje podatkovoda za obradu velikih količina podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:343200

Lipovac, I. (2022). 'Razvijanje podatkovoda za obradu velikih količina podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 14 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:343200

Lipovac I. Razvijanje podatkovoda za obradu velikih količina podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:168:343200

I. Lipovac, "Razvijanje podatkovoda za obradu velikih količina podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:343200

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Metadata
TitleRazvijanje podatkovoda za obradu velikih količina podataka
Title (english)Developing a data pipeline for Big Data processing
AuthorIvona Lipovac
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMirjana Domazet-Lošo (član povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj diplomski rad istražuje Big Data, upravljanje Big Data-om i izazove koji se javljaju. Dodatno, dan je pregled metoda, tehnologija i alata koji se najčešće koriste u procesiranju Big Data. Konačno, zadnji dio rada uključuje prijedlog podatkovoda za prikupljanje, integraciju i analizu Big Data-e. Podatkovod je izgrađen s retrospektivom na prethodno spomenute izazove, metode, tehnologije i alate.
Abstract (english)
This master’s thesis explores the concept of Big Data, Big Data management and the challenges occurring along. In addition, an overview of the methods, technologies and tools commonly used for Big Data processing is given. Finally, the last part of the paper includes a proposal of a data pipeline used for Big Data collection, integration and analysis. The data pipeline is built with a retrospective on the previously mentioned challenges, methods, tools and technologies.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:343200
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
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Created on2023-01-14 09:18:19