Benchmarking of RDBMS and NoSQL performance on unstructured data

Detalhes bibliográficos
Autor(a) principal: Karimi, Mwai
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/14832
Resumo: New requirements are arising in the database field. Big data has been soaring. The amount of data is ever increasing and becoming more and more varied. Traditional relational database management systems have been a dominant force in the database field but due to the massive growth of unstructured and multiform data, firms are now turning to architectures that have scaleout capabilities using open source software, commodity servers, cloud computing and services like Database as a Service. Due to this, relational databases ought to adopt and meet these new data requirements with easier and faster data processing capabilities and also provide multiple analytical tools that have the possibility of displaying analytics instantly. This study aims to benchmark the performance of relational systems and NoSQL systems on unstructured data.
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spelling Benchmarking of RDBMS and NoSQL performance on unstructured dataRelational databaseNoSQLBig dataMySQLMongoDbNew requirements are arising in the database field. Big data has been soaring. The amount of data is ever increasing and becoming more and more varied. Traditional relational database management systems have been a dominant force in the database field but due to the massive growth of unstructured and multiform data, firms are now turning to architectures that have scaleout capabilities using open source software, commodity servers, cloud computing and services like Database as a Service. Due to this, relational databases ought to adopt and meet these new data requirements with easier and faster data processing capabilities and also provide multiple analytical tools that have the possibility of displaying analytics instantly. This study aims to benchmark the performance of relational systems and NoSQL systems on unstructured data.Martins, Paula VenturaSapientiaKarimi, Mwai2020-11-18T12:06:41Z2019-01-312019-01-31T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.1/14832enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-29T10:54:01Zoai:sapientia.ualg.pt:10400.1/14832Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-29T10:54:01Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Benchmarking of RDBMS and NoSQL performance on unstructured data
title Benchmarking of RDBMS and NoSQL performance on unstructured data
spellingShingle Benchmarking of RDBMS and NoSQL performance on unstructured data
Karimi, Mwai
Relational database
NoSQL
Big data
MySQL
MongoDb
title_short Benchmarking of RDBMS and NoSQL performance on unstructured data
title_full Benchmarking of RDBMS and NoSQL performance on unstructured data
title_fullStr Benchmarking of RDBMS and NoSQL performance on unstructured data
title_full_unstemmed Benchmarking of RDBMS and NoSQL performance on unstructured data
title_sort Benchmarking of RDBMS and NoSQL performance on unstructured data
author Karimi, Mwai
author_facet Karimi, Mwai
author_role author
dc.contributor.none.fl_str_mv Martins, Paula Ventura
Sapientia
dc.contributor.author.fl_str_mv Karimi, Mwai
dc.subject.por.fl_str_mv Relational database
NoSQL
Big data
MySQL
MongoDb
topic Relational database
NoSQL
Big data
MySQL
MongoDb
description New requirements are arising in the database field. Big data has been soaring. The amount of data is ever increasing and becoming more and more varied. Traditional relational database management systems have been a dominant force in the database field but due to the massive growth of unstructured and multiform data, firms are now turning to architectures that have scaleout capabilities using open source software, commodity servers, cloud computing and services like Database as a Service. Due to this, relational databases ought to adopt and meet these new data requirements with easier and faster data processing capabilities and also provide multiple analytical tools that have the possibility of displaying analytics instantly. This study aims to benchmark the performance of relational systems and NoSQL systems on unstructured data.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-31
2019-01-31T00:00:00Z
2020-11-18T12:06:41Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/14832
url http://hdl.handle.net/10400.1/14832
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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