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Title:Uporaba orodja Apache NiFi za integracijo podatkov v velepodatkovni sistem
Authors:ID Klančnik, Miha (Author)
ID Nemec Zlatolas, Lili (Mentor) More about this mentor... New window
ID Maruša, Leon (Comentor)
Files:.pdf VS_Klancnik_Miha_2024.pdf (2,06 MB)
MD5: 70A294CBC72293A362AA1F08DF342D73
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo se osredotoča na uporabo orodja Apache NiFi za integracijo podatkov v velepodatkovni sistem, kar izboljšuje operativno učinkovitost in odločanje v podjetjih. V prvem delu je predstavljen teoretični pregled orodja Apache NiFi in njegovih funkcionalnosti, v praktičnem delu pa so implementirani novi podatkovni cevovodi, ki vključujejo prenos in transformacijo podatkov med Microsoft SQL Serverjem in podatkovnim jezerom v novem velepodatkovnem sistemu. Rezultati raziskave kažejo, da NiFi učinkovito podpira različne podatkovne formate ter je primeren in prilagodljiv za različne primere uporabe.
Keywords:Apache NiFi, integracija podatkov, velepodatkovni sistem
Place of publishing:Celje
Publisher:[M. Klančnik]
Year of publishing:2024
PID:20.500.12556/DKUM-89435 New window
UDC:004.6-022.59(043.2)
COBISS.SI-ID:217527299 New window
Publication date in DKUM:08.08.2024
Views:745
Downloads:105
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:09.07.2024

Secondary language

Language:English
Title:Utilizing apache nifi for data integration in a big data system
Abstract:The thesis focuses on the use of Apache NiFi for data integration into a big data system, enhancing operational efficiency and decision-making in enterprises. The first part presents a theoretical overview of Apache NiFi and its functionalities, while the practical part implements new data pipelines that include the transfer and transformation of data between Microsoft SQL Server and the data lake of the new big data system. The research results show that NiFi effectively supports various data formats and is suitable and adaptable for different use cases.
Keywords:Apache NiFi, data integration, big data system


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