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Title:Analiza in primerjava pristopov modeliranja relacij med podatki v dokumentnih podatkovnih bazah NoSQL : diplomsko delo
Authors:ID Tabaković, Amar (Author)
ID Turkanović, Muhamed (Mentor) More about this mentor... New window
Files:.pdf VS_Tabakovic_Amar_2025.pdf (2,44 MB)
MD5: D702B9315B1A7D65817D95EC5A0AFCCB
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo analizira razlike med pristopoma modeliranja relacij znotraj dokumentnih podatkovnih baz NoSQL, in sicer referenciranje (ang. REF) in vgnezdenje (ang. EMBED). Podrobno sta predstavljena pristopa REF in EMBED, pri čemer je poseben fokus na analizi razlik v performancah pri izvajanju različnih operacij vstavljanja, poizvedovanja/iskanja, posodabljanja itn. Diplomsko delo zaključujemo s predstavitvijo in predlogi, kdaj je najboljše uporabiti enega izmed teh dveh pristopov modeliranja povezav med dokumenti in zbirkami. Teze, ki smo si jih zastavili kot dokaz pri izbiri pravilnega pristopa ob določenih pogojih, smo prikazali s pomočjo praktičnih primerov.
Keywords:dokumentne podatkovne baze, NoSQL, MongoDB, referenciranje, ugnezdenje, REF, EMBED
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Tabaković]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (VIII, 35 str.))
PID:20.500.12556/DKUM-94941 New window
UDC:004.65(043.2)
COBISS.SI-ID:260322819 New window
Publication date in DKUM:23.09.2025
Views:126
Downloads:28
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:29.08.2025

Secondary language

Language:English
Title:Analysis and comparison of approaches for modeling relationships between data in NoSQL document databases
Abstract:The thesis analyzes the differences between the referencing (REF) and embedding (EMBED) approaches of modelling relations within NoSQL document databases. The REF and EMBED approaches are presented in detail, with a special focus on analyzing the differences in performance when performing various operations such as insertion, query/search, update, etc. The thesis concludes with a presentation and suggestions on when it is best to use one of these two approaches to modeling relationships between documents and collections. The theses that we set as evidence for choosing the correct approach under certain conditions are illustrated with the help of practical examples.
Keywords:document databases, NoSQL, MongoDB, referencing, embeding, REF, EMBED


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