prikaz prve stranice dokumenta Jezero podataka za elektroničku trgovinu
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master's thesis
Jezero podataka za elektroničku trgovinu
2022. urn:nbn:hr:168:029617
Vale, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Vale, F. (2022). Jezero podataka za elektroničku trgovinu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:029617

Vale, Filip. "Jezero podataka za elektroničku trgovinu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:029617

Vale, Filip. "Jezero podataka za elektroničku trgovinu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:029617

Vale, F. (2022). 'Jezero podataka za elektroničku trgovinu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:029617

Vale F. Jezero podataka za elektroničku trgovinu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:029617

F. Vale, "Jezero podataka za elektroničku trgovinu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:029617

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Metadata
TitleJezero podataka za elektroničku trgovinu
Title (english)Data lake for electronic commerce
AuthorFilip Vale
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
Jezero podataka je spremište podataka koje pohranjuje neobrađene nestrukturirane, polustrukturirane i strukturirane podatke. U ovome radu navedena su svojstva jezera podataka kao i velikih skupova podataka, objašnjena je lambda arhitektura te je implementirano jezero podataka za elektroničku trgovinu. Koristeći Apacheove alate Sqoop, Flume, Kafku i Flink ostvaren je unos podataka u jezero podataka. Za pohranu podataka koristio se Hadoop dok se za analitičke upite koristio Hive.
Abstract (english)
A data lake is a data repository that stores raw unstructured, semi-structured, and structured data. This paper presents the properties of data lakes as well as large data sets, explains the lambda architecture, and implements a data lake for electronic commerce. Apache's tools Sqoop, Flume, Kafka and Flink were used to insert data in the data lake. Hadoop was used for data storage while Hive was used for analytical queries.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:029617
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 on2023-01-13 16:26:05