prikaz prve stranice dokumenta Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams
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undergraduate thesis
Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:594211
Keri, Ana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Keri, A. (2023). Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:594211

Keri, Ana. "Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:594211

Keri, Ana. "Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:594211

Keri, A. (2023). 'Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:594211

Keri A. Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 June 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:594211

A. Keri, "Filtriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:594211

Metadata
TitleFiltriranje geoprostornog toka podataka korištenjem programske knjižnice Kafka Streams
Title (english)Filtering of a Geospatial Data Stream with Kafka Streams
AuthorAna Keri
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberJosip Marić (član povjerenstva)
Committee memberFederico Matteo Benčić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Značajan dio velikih podataka su geoprostorni podatci koji obuhvaćaju podatke o objektima, događajima ili pojavama koje se nalaze na Zemljinoj površini. Postoje različiti programski okviri koji podržavaju obradu velikih podataka. U ovom je radu opisana arhitektura platforme Apache Kafka, Kafka Streams knjižnica koja olakšava obradu podataka te su predstavljeni problemi pri obradi geoprostornih podataka. Također, prikazano je ostvareno programsko rješenje filtriranja geoprostornih podataka odabranog studijskog slučaja.
Abstract (english)
A significant part of big data is geospatial data, which includes data about objects, events, or phenomena that are on the Earth's surface. There are various software frameworks that support big data processing. This paper describes the architecture of the Apache Kafka platform, the Kafka Streams library that facilitates data processing, and presents problems in processing geospatial data. Finally, the realized software solution for filtering geospatial data of the selected study case is presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:594211
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 09:17:48