Secondary Indexes in NoSQL Databases
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Perustieteiden korkeakoulu |
Bachelor's thesis
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Authors
Date
2024-04-25
Department
Major/Subject
Tietotekniikka
Mcode
SCI3027
Degree programme
Teknistieteellinen kandidaattiohjelma
Language
en
Pages
27 + 2
Series
Abstract
The rapid evolution of NoSQL databases has necessitated the development of efficient indexing techniques to enhance data retrieval performance. While primary indexing is well-understood, the role and efficiency of secondary indexing in handling large, dynamic datasets have not been as thoroughly explored. This thesis examines secondary indexing within NoSQL systems, focusing on eager, lazy, composite, and embedded indexes. This is implemented through a systematic review of existing literature analysing existing secondary indexing methods. A comparative analysis of these indexing techniques reveals variations in their suitability for different data management scenarios, as well as highlighting a notable gap in direct comparative studies across these methods.Description
Supervisor
Savioja, LauriThesis advisor
Pollari-Malmi, KerttuKeywords
NoSQL, secondary indexing, index