Dynamics of the air passenger transportation market in Colombia (2016)
Today, IT professionals are challenged with the task of ongoing improvements to achieve goals of businesses. Unfortunately, some factor/Resources, skill environment does not dynamically grow as fast as business needs. That sequence of events creates major obstacles for DB infrastructure, deployment,...
- Autores:
-
Lis-Gutierrez, Jenny Paola
Muñoz Segura, Jessica Paola
Gaitan, Mercedes
Carolina Henao, Linda
Viloria, Amelec
Malagón, Luz Elena
Aguilera-Hernandez, Doris
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/3321
- Acceso en línea:
- http://hdl.handle.net/11323/3321
https://repositorio.cuc.edu.co/
- Palabra clave:
- Database management system
RDBMS
Database tuning query optimization
Database performance
Optimization techniques
Sistema de gestión de base de datos
RDBMS
Ajuste de base de datos
Optimización de consultas
Técnicas de optimización de rendimiento de base de datos
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
| id |
RCUC2_293c9a258fa3737a641379ff1df4505f |
|---|---|
| oai_identifier_str |
oai:repositorio.cuc.edu.co:11323/3321 |
| network_acronym_str |
RCUC2 |
| network_name_str |
REDICUC - Repositorio CUC |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Dynamics of the air passenger transportation market in Colombia (2016) |
| dc.title.translated.spa.fl_str_mv |
Dinámica del mercado de transporte aéreo de pasajeros en Colombia (2016) |
| title |
Dynamics of the air passenger transportation market in Colombia (2016) |
| spellingShingle |
Dynamics of the air passenger transportation market in Colombia (2016) Database management system RDBMS Database tuning query optimization Database performance Optimization techniques Sistema de gestión de base de datos RDBMS Ajuste de base de datos Optimización de consultas Técnicas de optimización de rendimiento de base de datos |
| title_short |
Dynamics of the air passenger transportation market in Colombia (2016) |
| title_full |
Dynamics of the air passenger transportation market in Colombia (2016) |
| title_fullStr |
Dynamics of the air passenger transportation market in Colombia (2016) |
| title_full_unstemmed |
Dynamics of the air passenger transportation market in Colombia (2016) |
| title_sort |
Dynamics of the air passenger transportation market in Colombia (2016) |
| dc.creator.fl_str_mv |
Lis-Gutierrez, Jenny Paola Muñoz Segura, Jessica Paola Gaitan, Mercedes Carolina Henao, Linda Viloria, Amelec Malagón, Luz Elena Aguilera-Hernandez, Doris |
| dc.contributor.author.spa.fl_str_mv |
Lis-Gutierrez, Jenny Paola Muñoz Segura, Jessica Paola Gaitan, Mercedes Carolina Henao, Linda Viloria, Amelec Malagón, Luz Elena Aguilera-Hernandez, Doris |
| dc.subject.spa.fl_str_mv |
Database management system RDBMS Database tuning query optimization Database performance Optimization techniques Sistema de gestión de base de datos RDBMS Ajuste de base de datos Optimización de consultas Técnicas de optimización de rendimiento de base de datos |
| topic |
Database management system RDBMS Database tuning query optimization Database performance Optimization techniques Sistema de gestión de base de datos RDBMS Ajuste de base de datos Optimización de consultas Técnicas de optimización de rendimiento de base de datos |
| description |
Today, IT professionals are challenged with the task of ongoing improvements to achieve goals of businesses. Unfortunately, some factor/Resources, skill environment does not dynamically grow as fast as business needs. That sequence of events creates major obstacles for DB infrastructure, deployment, administration and maintenance. This paper discusses the performance issues, different bottlenecks such as CPU bottlenecks, Memory structures, Input output capacity issue, Database Design issues and Indexing issues. Also this paper address Tuning stages and how SQL queries can be optimized for better performance. In this paper we are focusing on query tuning tips & tricks which can be applied to gain immediate performance gain by creating Query Execution Flow Chart. We demonstrate the application of this technique in an Employee Biometric Attendance Management System |
| publishDate |
2018 |
| dc.date.issued.none.fl_str_mv |
2018-06-10 |
| dc.date.accessioned.none.fl_str_mv |
2019-05-14T13:09:57Z |
| dc.date.available.none.fl_str_mv |
2019-05-14T13:09:57Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
acceptedVersion |
| dc.identifier.isbn.spa.fl_str_mv |
978-331993802-8 |
| dc.identifier.issn.spa.fl_str_mv |
03029743 |
| dc.identifier.uri.spa.fl_str_mv |
http://hdl.handle.net/11323/3321 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
978-331993802-8 03029743 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
http://hdl.handle.net/11323/3321 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartof.spa.fl_str_mv |
DOI: 10.1007/978-3-319-93803-5_17 |
| dc.relation.references.spa.fl_str_mv |
World Intellectual Property Organization¿Qué es la propiedad Intelectual? Ginebra: OMPI (2010). http://www.wipo.int/edocs/pubdocs/es/intproperty/450/wipo_pub_450.pdf World Intellectual Property Organization: World Intellectual Property Indicators 2016. Ginebra: WIPO (2016). http://www.wipo.int/edocs/pubdocs/en/wipo_pub_941_2016.pdf World Intellectual Property Organization: World Intellectual Property Indicators 2017. Ginebra: WIPO (2017). http://www.wipo.int/edocs/pubdocs/en/wipo_pub_941_2017.pdf Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Viloria, A., Cifuentes-Rueda, J., Lis-Gutiérrez, M.: Patent consortia: balance and prospects. J. Control Theory Appl. 9(44), 415–420 (2016). http://serialsjournals.com/serialjournalmanager/pdf/1495780779.pdf Anderson, N., Potocnik, K., Zhou, J.: Innovation and creativity in organizations: a state-ofthe-science review, prospective commentary, and guiding framework. J. Manag. 40(5), 1297– 1333 (2014) Hatak, I., Kautonen, T., Fink, M., Kansitas, J.: Innovativeness and family-firm performance: the moderating effect of family commitment. Technol. Forecast. Soc. Chang., 26 de Diciembre de 2014 Fink, C., Javorcik, B.S., Spatareanu, M.: Income-related biases in international trade: what do trademark registration data tell us? Rev. World Econ. 141(1), 79–103 (2005) Greenberg, G.: Small firms, big patents? estimating patent value using data on israeli startups financing rounds. Ponencia presentada en “The 4th Israeli Strategy Conference”. 10, 183– 196 (2010) OMPI. La propiedad intelectual y las pequeñas y medianas empresas. Ginebra: OMPI (2012). http://www.wipo.int/aboutip/es/studies/publications/ip_smes.htm Luna López, K., Solleiro Rebolledo, J.: La Gestión de la Propiedad Intelectual en Centros de Investigación Mexicanos: El Caso del Instituto Mexicano del Petróleo. J. Technol. Manag. Innov. 2, 157–169 (2007). http://66.147.247.32/jotmi_conicyt/index.php/GT/article/view/ cas7/410 World Intellectual Property Organization and Superintendencia de Industria y Comercio. Reporte sobre la información en materia de Propiedad Intelectual en Colombia. SIC, Bogotá (2017) Superintendencia de Industria y Comercio. Estadísticas [Base de datos]. SIC, Bogotá (2017). http://www.sic.gov.co/estadisticas-propiedad-industrial Waniez, P.: Philcarto [Software] (2018). http://philcarto.free.fr Moran, P.A.P.: The interpretation of statistical maps. J. Roy. Stat. Soc. B 10, 243–251 (1948) Langrand, C., Pinzón, L.M.: Análisis de datos. Bogotá: Escuela Colombiana de Ingeniería (2009) Gallardo, J.: Métodos Jerárquicos de Análisis Cluster (2015). http://www.ugr.es/ ~gallardo/pdf/cluster-3.pdf Anselin, L.: Spatial Econometrics: Methods and Models. Kluwer Academic, Dordrecht (1988) Smith, M., Goodchild, M., Longley, P.: Univariate classification schemes en geospatial analysis (2015). http://www.spatialanalysisonline.com/HTML/index.html?classification_ and_clustering.htm |
| dc.rights.spa.fl_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International |
| dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.publisher.spa.fl_str_mv |
Springer Verlag |
| institution |
Corporación Universidad de la Costa |
| bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstream/11323/3321/1/2018_Book_DataMiningAndBigData.pdf https://repositorio.cuc.edu.co/bitstream/11323/3321/2/license_rdf https://repositorio.cuc.edu.co/bitstream/11323/3321/3/license.txt https://repositorio.cuc.edu.co/bitstream/11323/3321/4/2018_Book_DataMiningAndBigData.pdf.jpg https://repositorio.cuc.edu.co/bitstream/11323/3321/5/2018_Book_DataMiningAndBigData.pdf.txt |
| bitstream.checksum.fl_str_mv |
d2b376aa32c26ace0bb2ae4d99e7679c 934f4ca17e109e0a05eaeaba504d7ce4 8a4605be74aa9ea9d79846c1fba20a33 d680654770fe1ecdd5eb2fe5370c9996 c902ee6b9c185444d55855e281f4ae73 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Universidad de La Costa |
| repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
| _version_ |
1808400250904248320 |
| spelling |
Lis-Gutierrez, Jenny Paola2498c1b8dc84fc259a5391232bc78978Muñoz Segura, Jessica Paola2dee688fcdc07f79ac5b18d1b2b57ddbGaitan, Mercedesdcf0f652ddd45d60b5ea2b4009f6b44dCarolina Henao, Linda1b07f23f4b9f56b30de693533e18db15Viloria, Amelecfc29d54ed3c7d39e34b3d61c512ace8fMalagón, Luz Elena607be221a068e5d6c42fe7629e71ffd2Aguilera-Hernandez, Doris1d8f3aad7614409561507edb7f83ad482019-05-14T13:09:57Z2019-05-14T13:09:57Z2018-06-10978-331993802-803029743http://hdl.handle.net/11323/3321Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Today, IT professionals are challenged with the task of ongoing improvements to achieve goals of businesses. Unfortunately, some factor/Resources, skill environment does not dynamically grow as fast as business needs. That sequence of events creates major obstacles for DB infrastructure, deployment, administration and maintenance. This paper discusses the performance issues, different bottlenecks such as CPU bottlenecks, Memory structures, Input output capacity issue, Database Design issues and Indexing issues. Also this paper address Tuning stages and how SQL queries can be optimized for better performance. In this paper we are focusing on query tuning tips & tricks which can be applied to gain immediate performance gain by creating Query Execution Flow Chart. We demonstrate the application of this technique in an Employee Biometric Attendance Management SystemHoy en día, los profesionales de TI se enfrentan a la tarea de continuar Mejoras para lograr los objetivos de las empresas. Desafortunadamente, algunos factor / Recursos, el entorno de habilidades no crece dinámicamente tan rápido como Necesidades del negocio. Esa secuencia de eventos crea grandes obstáculos para DB Infraestructura, despliegue, administración y mantenimiento. Este documento analiza los problemas de rendimiento, diferentes cuellos de botella, como cuellos de botella de la CPU, Estructuras de memoria, problema de capacidad de salida de entrada, problemas de diseño de base de datos y Problemas de indexación. También este documento aborda las etapas de ajuste y cómo las consultas SQL Se puede optimizar para un mejor rendimiento. En este artículo nos centramos en la consulta. Consejos y trucos de ajuste que se pueden aplicar para obtener una ganancia de rendimiento inmediata mediante la creación de diagrama de flujo de ejecución de consultas. Demostramos la aplicación de este Técnica en un sistema de gestión de asistencia biométrica para empleados.engSpringer VerlagDOI: 10.1007/978-3-319-93803-5_17World Intellectual Property Organization¿Qué es la propiedad Intelectual? Ginebra: OMPI (2010). http://www.wipo.int/edocs/pubdocs/es/intproperty/450/wipo_pub_450.pdf World Intellectual Property Organization: World Intellectual Property Indicators 2016. Ginebra: WIPO (2016). http://www.wipo.int/edocs/pubdocs/en/wipo_pub_941_2016.pdf World Intellectual Property Organization: World Intellectual Property Indicators 2017. Ginebra: WIPO (2017). http://www.wipo.int/edocs/pubdocs/en/wipo_pub_941_2017.pdf Lis-Gutiérrez, J.P., Gaitán-Angulo, M., Viloria, A., Cifuentes-Rueda, J., Lis-Gutiérrez, M.: Patent consortia: balance and prospects. J. Control Theory Appl. 9(44), 415–420 (2016). http://serialsjournals.com/serialjournalmanager/pdf/1495780779.pdf Anderson, N., Potocnik, K., Zhou, J.: Innovation and creativity in organizations: a state-ofthe-science review, prospective commentary, and guiding framework. J. Manag. 40(5), 1297– 1333 (2014) Hatak, I., Kautonen, T., Fink, M., Kansitas, J.: Innovativeness and family-firm performance: the moderating effect of family commitment. Technol. Forecast. Soc. Chang., 26 de Diciembre de 2014 Fink, C., Javorcik, B.S., Spatareanu, M.: Income-related biases in international trade: what do trademark registration data tell us? Rev. World Econ. 141(1), 79–103 (2005) Greenberg, G.: Small firms, big patents? estimating patent value using data on israeli startups financing rounds. Ponencia presentada en “The 4th Israeli Strategy Conference”. 10, 183– 196 (2010) OMPI. La propiedad intelectual y las pequeñas y medianas empresas. Ginebra: OMPI (2012). http://www.wipo.int/aboutip/es/studies/publications/ip_smes.htm Luna López, K., Solleiro Rebolledo, J.: La Gestión de la Propiedad Intelectual en Centros de Investigación Mexicanos: El Caso del Instituto Mexicano del Petróleo. J. Technol. Manag. Innov. 2, 157–169 (2007). http://66.147.247.32/jotmi_conicyt/index.php/GT/article/view/ cas7/410 World Intellectual Property Organization and Superintendencia de Industria y Comercio. Reporte sobre la información en materia de Propiedad Intelectual en Colombia. SIC, Bogotá (2017) Superintendencia de Industria y Comercio. Estadísticas [Base de datos]. SIC, Bogotá (2017). http://www.sic.gov.co/estadisticas-propiedad-industrial Waniez, P.: Philcarto [Software] (2018). http://philcarto.free.fr Moran, P.A.P.: The interpretation of statistical maps. J. Roy. Stat. Soc. B 10, 243–251 (1948) Langrand, C., Pinzón, L.M.: Análisis de datos. Bogotá: Escuela Colombiana de Ingeniería (2009) Gallardo, J.: Métodos Jerárquicos de Análisis Cluster (2015). http://www.ugr.es/ ~gallardo/pdf/cluster-3.pdf Anselin, L.: Spatial Econometrics: Methods and Models. Kluwer Academic, Dordrecht (1988) Smith, M., Goodchild, M., Longley, P.: Univariate classification schemes en geospatial analysis (2015). http://www.spatialanalysisonline.com/HTML/index.html?classification_ and_clustering.htmAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Database management systemRDBMSDatabase tuning query optimizationDatabase performanceOptimization techniquesSistema de gestión de base de datosRDBMSAjuste de base de datosOptimización de consultasTécnicas de optimización de rendimiento de base de datosDynamics of the air passenger transportation market in Colombia (2016)Dinámica del mercado de transporte aéreo de pasajeros en Colombia (2016)Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionORIGINAL2018_Book_DataMiningAndBigData.pdf2018_Book_DataMiningAndBigData.pdfapplication/pdf98003972https://repositorio.cuc.edu.co/bitstream/11323/3321/1/2018_Book_DataMiningAndBigData.pdfd2b376aa32c26ace0bb2ae4d99e7679cMD51open accessCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstream/11323/3321/2/license_rdf934f4ca17e109e0a05eaeaba504d7ce4MD52open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstream/11323/3321/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD53open accessTHUMBNAIL2018_Book_DataMiningAndBigData.pdf.jpg2018_Book_DataMiningAndBigData.pdf.jpgimage/jpeg22980https://repositorio.cuc.edu.co/bitstream/11323/3321/4/2018_Book_DataMiningAndBigData.pdf.jpgd680654770fe1ecdd5eb2fe5370c9996MD54open accessTEXT2018_Book_DataMiningAndBigData.pdf.txt2018_Book_DataMiningAndBigData.pdf.txttext/plain1762694https://repositorio.cuc.edu.co/bitstream/11323/3321/5/2018_Book_DataMiningAndBigData.pdf.txtc902ee6b9c185444d55855e281f4ae73MD55open access11323/3321oai:repositorio.cuc.edu.co:11323/33212023-12-14 17:41:27.431Attribution-NonCommercial-ShareAlike 4.0 International|||http://creativecommons.org/licenses/by-nc-sa/4.0/open accessRepositorio Universidad de La Costabdigital@metabiblioteca.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 |