prikaz prve stranice dokumenta Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda
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master's thesis
Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:702452
Kiseljak, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Kiseljak, L. (2020). Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:702452

Kiseljak, Luka. "Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:702452

Kiseljak, Luka. "Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:702452

Kiseljak, L. (2020). 'Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:702452

Kiseljak L. Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:702452

L. Kiseljak, "Analiza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:702452

Metadata
TitleAnaliza velike količine podataka o stanju gradskog prometa upotrebom programskih alata otvorenog koda
Title (english)City Traffic Big Data Analysis Using Open Source Software Solutions
AuthorLuka Kiseljak
MentorAlan Jović (mentor)
Committee memberAlan Jović (predsjednik povjerenstva)
Committee memberVlado Sruk (član povjerenstva)
Committee memberDejan Škvorc (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Porastom količina podataka koje programski sustavi prikupljaju i obrađuju, osobito početkom masovne upotrebe interneta, mnogi alati u upotrebi pokazali su se nedostatnima. Iz tog razloga, velik broj inženjera i znanstvenika uključio se u razvoj alata otvorenog koda namijenjenih upotrebi u novonastalom području velikih podataka. U ovom radu prikazana su tri takva alata, Kafka, Cassandra i Spark, proizvodi Apache Software Foundationa. Apache Kafka je alat za razmjenu poruka koji služi pojednostavljenju arhitekture sustava i predstavlja središnju točku preko koje se razmijenjuju svi podaci u sustavu. Apache Cassandra je raspodijeljena baza podataka koja omogućava čitanje i pisanje velikih količina podataka uz održavanje visokih performansi. Apache Spark je alat za raspodijeljenu obradu podataka poput napredne analitike ili upotrebe umjetne inteligencije. Na primjeru sustava koji analizira stanje u prometu demonstrirane su funkcionalnosti i upotreba navedenih alata u ostvarenju web-aplikacije koja korisnicima nudi pregled zapaženih prometnih poremećaja i predviđanje budućih.
Abstract (english)
With the dramatic increase in the quantities of data collected and processed by software systems, especially after massive adoption of internet, many tools in use have shown themselves as insufficiently capable. To address this issue, engineers and scientists from around the world have started building open source software tools intended for use in the newly established field of big data. In this thesis, three such tools are presented, Apache Software Foundation's Kafka, Cassandra and Spark. Apache Kafka is a messaging system which greatly simplifies big data system's architecture and presents a central information exchange point in these systems. Apache Cassandra is a distributed database which retains high performance despite data volumes stored in it. Apache Spark is a distributed tool for data processing such as advanced analytics and artificial intelligence usages. This thesis demonstrates features and use cases for these three tools using an example system for traffic data analysis, which exposes a web-aplication that allows users to browse collected traffic disruption data and find predictions for possible future such events.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:702452
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
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Created on2023-01-13 12:40:13