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Title:Podatkovna analitika z Apache NiFi in Apache Superset
Authors:ID Ternik, Žak (Author)
ID Kokol, Peter (Mentor) More about this mentor... New window
ID Kolar, Aleksander (Comentor)
Files:.pdf VS_Ternik_Zak_2024.pdf (4,35 MB)
MD5: F4EBE4D33FF8EA455EC11CE7B2F846E5
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu je prikazana implementacija celovite rešitve za zajem, obdelavo in vizualizacijo podatkov pridobljenih iz sistema za vodenje sredstev IBM Maximo, ter vremenskega API-ja. Predstavili smo postopek namestitve odprtokodnih orodij Apache NiFi in Apache Superset. Znotraj Apache NiFi smo razvili podatkovne tokove za ekstrakcijo in obdelavo podatkov iz sistema IBM Maximo in vremenskega aplikacijskega vmesnika, ter le-te shranili v PostgreSQL podatkovno bazo. Ti podatki služijo kot osnova za vizualizacijo statistike delovnih nalogov ter napovedovanje uspešnosti zaključevanja delovnih nalogov glede na vremensko napoved v orodju Apache Superset.
Keywords:Apache NiFi, Apache Superset, podatkovna analitika, pridobivanje podatkov, vizualizacija podatkov
Place of publishing:Maribor
Year of publishing:2024
PID:20.500.12556/DKUM-88518 New window
Publication date in DKUM:04.06.2024
Views:159
Downloads:29
Metadata:XML RDF-CHPDL 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:08.05.2024

Secondary language

Language:English
Title:Data Analytics with Apache NiFi and Apache Superset
Abstract:The thesis presents the implementation of a comprehensive solution for capturing, processing and visualisation of data obtained from the IBM Maximo Asset Management system and the weather API. We presented the installation process of open source tools Apache NiFi and Apache Superset. Within Apache NiFi, we developed data streams to extract and process data from IBM Maximo and weather API, and stored them in PostgreSQL database. This data serves as the basis of visualizing work order statistics and predicting the success of work order completion based on weather forecast in Apache Superset.
Keywords:Apache NiFi, Apache Superset, data analytics, data extraction, data visualization


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