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undergraduate thesis
Obrada toka podataka korištenjem programske knjižnice Kafka Streams
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. urn:nbn:hr:168:866180
Lučić, Josip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Lučić, J. (2023). Obrada 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:168:866180

Lučić, Josip. "Obrada 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:168:866180

Lučić, Josip. "Obrada 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:168:866180

Lučić, J. (2023). 'Obrada 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:168:866180

Lučić J. Obrada 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:168:866180

J. Lučić, "Obrada 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:168:866180

Metadata
TitleObrada toka podataka korištenjem programske knjižnice Kafka Streams
Title (english)Data Stream Processing with Kafka Streams
AuthorJosip Lučić
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberJosip Marić (član povjerenstva)
Committee memberIvan Sičić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad demonstrira obradu toka podataka koristeći Processor API u programskom jeziku Java. On je jedan od dvaju API-ja koje platforma Apache Kafka nudi u sklopu programske knjižnice Kafka Streams. S obzirom na to da je Kafka Streams sastavni dio platforme, rad se prije svega fokusira na njenu arhitekturu, funkcionalnosti i terminlogiju radi lakšeg razumijevanja. Naravno, prije objašnjavnja programskog koda, glavni koncepti samog Processor API-ja su također opisani. Podaci koji se koriste za demonstraciju obrade podataka preuzeti su iz skupa podataka Aposemat IoT-23 koji sadrži mrežni promet internet uređaja.
Abstract (english)
This paper demonstrates data-stream processing using the Processor API in the Java programming language. It is one of the two APIs offered by the Apache Kafka platform within the Kafka Streams library. Considering that Kafka Streams is an integral part of the platform, the paper first focuses on it's architecture, functionalities, and terminology for easier understanding. Of course, before explaining the program code, the main concepts of the Processor API are also described. The data used to demonstrate data processing is taken from the Aposemat IoT-23 dataset, which contains network traffic from internet devices.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:866180
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 09:34:27