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Title:Samodejna analiza dnevnika transakcij za identifikacijo možnosti optimizacije relacijskega podatkovnega modela : magistrsko delo
Authors:ID Kovačevič, Adel (Author)
ID Turkanović, Muhamed (Mentor) More about this mentor... New window
ID Kamišalić Latifić, Aida (Comentor)
Files:.pdf MAG_Kovacevic_Adel_2019.pdf (1,73 MB)
MD5: 65FDC2097A977A4F2CD395DE9EDA3747
PID: 20.500.12556/dkum/e4ce06b3-8b81-484b-b08f-b1964a753c38
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Magistrska naloga predstavlja zasnovo in implementacijo orodja Revertium, ki uporabniku pomaga pri identifikaciji možnosti optimizacije relacijskega podatkovnega modela na podlagi analize dnevnika transakcij obstoječe relacijske podatkovne baze. Raziskali smo relacijski podatkovni model in določene slabosti relacijskih podatkovnih baz ter na podlagi pridobljenega znanja definirali možnosti optimizacije le-teh. Za namen doseganja prej omenjenega smo raziskali povratni inženiring relacijskih podatkovnih baz in določene optimizacijske tehnike, kot sta indeksiranje in denormalizacija. Na podlagi ugotovljenega smo združili vso znanje v celoto – orodje Revertium, ki je rezultat magistrskega dela.
Keywords:relacijski podatkovni model, povratni inženiring, dnevnik transakcij, optimizacija, indeksiranje, denormalizacija
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Kovačević]
Year of publishing:2019
Number of pages:VII, 60 f.
PID:20.500.12556/DKUM-75044 New window
UDC:004.415.2.043:004.6.056(043.2)
COBISS.SI-ID:22829078 New window
NUK URN:URN:SI:UM:DK:CKDRMTL4
Publication date in DKUM:12.11.2019
Views:1392
Downloads:164
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:18.09.2019

Secondary language

Language:English
Title:Automatic analysis of transactions for the identification of relational data model optimization options
Abstract:The thesis represents the design and implementation of the tool Revertium, which helps the user identify the possibilities of optimizing the relational data model based on the analysis of database transaction logs. We have researched the relational data model and its weaknesses to define the optimization options based on acquired knowledge. For the purpose of achieving the latter, we researched reverse engineering of relational databases and some optimization techniques like indexing and denormalization. Based on all acquired knowledge, we created a proposed result of the thesis – a tool named Revertium.
Keywords:relational data model, reverse engineering, transaction log, optimization, indexing, denormalization


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