Secondary Indexes in NoSQL Databases

No Thumbnail Available

Files

URL

Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Bachelor's thesis
Electronic archive copy is available locally at the Harald Herlin Learning Centre. The staff of Aalto University has access to the electronic bachelor's theses by logging into Aaltodoc with their personal Aalto user ID. Read more about the availability of the bachelor's theses.

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, Lauri

Thesis advisor

Pollari-Malmi, Kerttu

Keywords

NoSQL, secondary indexing, index

Other note

Citation