Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Monjaras, Alvaro, Bcndezu, Enrique, Raymundo, Carlos
Formato: artículo
Fecha de Publicación:2019
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656346
Enlace del recurso:http://hdl.handle.net/10757/656346
Nivel de acceso:acceso embargado
Materia:component database
decision tree
in memory database
nosql
performance
SQL
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network_name_str UPC-Institucional
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dc.title.en_US.fl_str_mv Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
title Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
spellingShingle Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
Monjaras, Alvaro
component database
decision tree
in memory database
nosql
performance
SQL
title_short Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
title_full Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
title_fullStr Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
title_full_unstemmed Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
title_sort Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
author Monjaras, Alvaro
author_facet Monjaras, Alvaro
Bcndezu, Enrique
Raymundo, Carlos
author_role author
author2 Bcndezu, Enrique
Raymundo, Carlos
author2_role author
author
dc.contributor.author.fl_str_mv Monjaras, Alvaro
Bcndezu, Enrique
Raymundo, Carlos
dc.subject.en_US.fl_str_mv component database
decision tree
in memory database
nosql
performance
SQL
topic component database
decision tree
in memory database
nosql
performance
SQL
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2021-06-07T17:13:33Z
dc.date.available.none.fl_str_mv 2021-06-07T17:13:33Z
dc.date.issued.fl_str_mv 2019-05-09
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/ICITM.2019.8710696
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656346
dc.identifier.journal.en_US.fl_str_mv Proceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 2019
dc.identifier.eid.none.fl_str_mv 2-s2.0-85066632248
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85066632248
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.1109/ICITM.2019.8710696
Proceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 2019
2-s2.0-85066632248
SCOPUS_ID:85066632248
0000 0001 2196 144X
url http://hdl.handle.net/10757/656346
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://ieeexplore.ieee.org/document/8710696
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.es_PE.fl_str_mv Universidad Peruana de Ciencias Aplicadas (UPC)
Repositorio Académico - UPC
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Proceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 2019
dc.source.beginpage.none.fl_str_mv 353
dc.source.endpage.none.fl_str_mv 357
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656346/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio académico upc
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spelling 58834e5a4a2d0d668349911391a9bdf33005171114a70e10805150adf55a79436e2300f1b29165990ab4ce165cbf28f5e4ccd9500Monjaras, AlvaroBcndezu, EnriqueRaymundo, Carlos2021-06-07T17:13:33Z2021-06-07T17:13:33Z2019-05-0910.1109/ICITM.2019.8710696http://hdl.handle.net/10757/656346Proceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 20192-s2.0-85066632248SCOPUS_ID:850666322480000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.There are currently several types of databases that have different ways of manipulating data that affects the performance of transactions when dealing with the information stored. And it is very important for companies to manage information fast, so they do not lose any operation because of a bad performance of a database, in the same way, they need to operate fast while keeping the integrity of the information. Likewise, every database category's purpose is to serve a specific or specifics use cases to perform fast to manage the information when needed, so in this paper, we study and analyze the SQL, NoSQL and In Memory databases to understand their fit uses cases and make performance tests to build a decision tree that can help to take the decision to choose what database category to use to maintain a good performance. The precision of the tests of relational databases was 96.26% in NoSQL databases was 91.83% and finally in IMDBS was 93.87%.application/htmlengInstitute of Electrical and Electronics Engineers Inc.https://ieeexplore.ieee.org/document/8710696info:eu-repo/semantics/embargoedAccessUniversidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPCProceedings of 2019 8th International Conference on Industrial Technology and Management, ICITM 2019353357reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCcomponent databasedecision treein memory databasenosqlperformanceSQLDecision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administratorsinfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656346/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656346oai:repositorioacademico.upc.edu.pe:10757/6563462021-06-07 17:13:33.769Repositorio académico upcupc@openrepository.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Decision Tree Model to Support the Successful Selection of a Database Engine for Novice Database Administrators
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