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Title:Tehnike optimizacije podatkovne baze
Authors:ID Cipot, Matej (Author)
ID Nemec Zlatolas, Lili (Mentor) More about this mentor... New window
Files:.pdf VS_Cipot_Matej_2025.pdf (1,41 MB)
MD5: 88EBAF59C8D89C7FEFC1566A34FD4CE8
 
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 so raziskane tehnike optimizacije podatkovnih baz z namenom izboljšanja učinkovitosti okolja SQL Server Management Studio. Sodobne aplikacije so močno odvisne od podatkovnih baz, vendar se pogosto soočamo z izzivi, kot so počasno izvajanje poizvedb in neučinkovit dostop do podatkov. Cilj naloge je prikazati učinkovitost različnih metod, kot so indeksiranje, optimizacija poizvedb in particioniranje. Njihov vpliv je predstavljen s praktičnimi primeri, primerjavo časa izvajanja in porabe virov pred in po izvedeni optimizaciji. Na ta način je prikazano, kako lahko izbrane strategije pospešijo dostop do podatkov, zmanjšajo obremenitev strežnika ter zagotovijo stabilno in odzivno delovanje sistema.
Keywords:tehnike optimizacije, podatkovna baza, indeksiranje, poizvedbe, SQL Server Management Studio
Place of publishing:Maribor
Publisher:[M. Cipot]
Year of publishing:2025
PID:20.500.12556/DKUM-92824 New window
UDC:004.65(043.2)
COBISS.SI-ID:243739651 New window
Publication date in DKUM:08.07.2025
Views:249
Downloads:67
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:15.05.2025

Secondary language

Language:English
Title:Database optimization techniques
Abstract:In the diploma thesis, database optimization techniques are explored with the aim of improving the efficiency of the SQL Server Management Studio environment. Modern applications heavily rely on databases, yet challenges such as slow query execution and inefficient data access are frequently encountered. The purpose of the thesis is to demonstrate the effectiveness of various methods, including indexing, query optimization and partitioning. Their impact is presented through practical examples, comparing execution times and resource consumption before and after the implemented optimizations. In this way, it is shown how the selected strategies can accelerate data access, reduce server load, and ensure stable and responsive system performance.
Keywords:optimization techniques, database, indexing, queries, SQL Server Management Studio


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