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Optimering och Analysering av Databasprestanda
Dalarna University, School of Information and Engineering.
Dalarna University, School of Information and Engineering.
2024 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Optimization and Analysing of Database Performance (English)
Abstract [en]

This study explores effective strategies for improving database performance for online applications and various factors that play a key role in performance optimization. Through a combination of semi-structured interviews and literature studies, the research identifies important areas for optimization, such as database design, indexing, Common Table Expressions (CTE), and query optimization. The study also explores the various factors that contribute most to the lack of performance optimization. The results show that despite technological advances, challenges remain that require an integrated approach. This approach should include technological innovation, strategic planning, and knowledge exchange between different members or groups. The research emphasizes the importance of continuous adaptation and capacity building within IT to address future challenges and recommends further research to explore new optimization techniques for databases

Abstract [sv]

Denna studie utforskar effektiva strategier för att förbättra databasprestanda för onlineapplikationer samt olika faktorer som spelar en nyckelroll i prestandaoptimering. Genom en kombination av semi-strukturerade intervjuer och litteraturstudier identifierar forskningen viktiga optimeringsområden såsom databasdesign, indexering, Common Table Expressions (CTE) och frågeoptimering. Studien utforskar även de olika faktorer som bidrar mest till bristen på prestandaoptimering. Resultaten visar att trots tekniska framsteg kvarstår utmaningar som kräver en integrerad ansats. Denna ansats bör inkludera teknisk innovation, strategisk planering och kunskapsutbyte mellan olika medlemmar och grupper. Forskningen betonar vikten av kontinuerlig anpassning och kapacitetsbyggande inom IT för att hantera framtida utmaningar, och rekommenderar ytterligare forskning för att utforska nya optimeringstekniker för databaser.

Place, publisher, year, edition, pages
2024.
Keywords [sv]
Databasoptimering, SQL, Databas prestanda, Databasdesign, Prestandatestning
National Category
Information Systems
Identifiers
URN: urn:nbn:se:du-49121OAI: oai:DiVA.org:du-49121DiVA, id: diva2:1885389
Subject / course
Informatics
Available from: 2024-07-23 Created: 2024-07-23 Last updated: 2025-10-09Bibliographically approved

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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf