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Title:Sistemski pristop k ponovljivi podatkovni znanosti z upravljalnikom paketov Nix in zabojniki Docker
Authors:ID Lozinšek, Matic (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
ID Novak, Damijan (Comentor)
Files:.pdf VS_Lozinsek_Matic_2025.pdf (2,49 MB)
MD5: 973FDE9869EE860E94A2C35B8A2A7337
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo preučuje uporabo orodja Docker in upravljalnika paketov Nix za izboljšanje ponovljivosti v podatkovni znanosti. Docker ne glede na operacijski sistem omogoča izolirano izvajanje aplikacij, medtem ko Nix zagotavlja determinističen način upravljanja paketov in konfiguracij, kar omogoča ustvarjanje popolnoma ponovljivih okolij. Analiza se osredotoča na znanstvene projekte s področja podatkovnih disciplin, pri čemer so organizacijski, varnostni in etični vidiki izključeni. Eksperiment, izveden v lokalnem okolju, preučuje tehnične izzive, kot so zastarele knjižnice in manjkajoča dokumentacija. Rezultati eksperimentalnega dela diplomskega dela so pokazali, da Docker izboljšuje prenosljivost in integracijo v obstoječe delovne tokove, medtem ko Nix zagotavlja natančen nadzor nad različicami programske opreme in preprečuje konflikte med paketi.
Keywords:podatkovna znanost, ponovljivost, sistemski pristop, tehnologija, upravljalnik paketov Nix, zabojnik Docker
Place of publishing:Maribor
Publisher:[M. Lozinšek]
Year of publishing:2025
PID:20.500.12556/DKUM-92975 New window
UDC:004.62/.65(043.2)
COBISS.SI-ID:243797763 New window
Publication date in DKUM:10.07.2025
Views:221
Downloads:34
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:28.05.2025

Secondary language

Language:English
Title:A Systematic Approach to Reproducible Data Science with the Nix Package Manager and Docker Containers
Abstract:This thesis examines the use of Docker and the Nix package manager to improve reproducibility in data science. Docker enables isolated application execution regardless of the underlying operating system, while Nix provides a deterministic approach to package and configuration management, enabling the creation of fully reproducible environments. The analysis focuses on scientific projects in data-related disciplines, excluding organizational, security and ethical aspects. An experiment conducted in a local environment investigates technical challenges such as outdated libraries and missing documentation. The experimental results show that Docker improves portability and integration into existing workflows, while Nix ensures precise software version control and prevents package conflicts.
Keywords:data science, reproducibility, systematic approach, technology, Nix package manager, Docker containers


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