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,...

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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

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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
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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	https://hdl.handle.net/11323/3321
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
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identifier_str_mv	978-331993802-8 03029743 Corporación Universidad de la Costa REDICUC - Repositorio CUC
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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
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spelling	Lis-Gutierrez, Jenny PaolaMuñoz Segura, Jessica PaolaGaitan, MercedesCarolina Henao, LindaViloria, AmelecMalagón, Luz ElenaAguilera-Hernandez, Doris2019-05-14T13:09:57Z2019-05-14T13:09:57Z2018-06-10978-331993802-803029743https://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.Lis-Gutierrez, Jenny Paola-fb3c67c5-59fb-4b76-93e9-9d0a538dd4f0-0Muñoz Segura, Jessica Paola-f84ad8b8-3d94-4c08-9d9a-12014606f58d-0Gaitan, Mercedes-8b432aaf-b7fb-47b1-b4c8-9aa272a542fd-0Carolina Henao, Linda-e3f89b96-6883-408f-a092-4185ebdcfe19-0Viloria, Amelec-52922525-9094-40f2-acd3-5424e90bb258-0Malagón, Luz Elena-21b14396-5860-4396-bb90-2f6aa3431cff-0Aguilera-Hernandez, Doris-a9c46440-cfc1-4e28-ba33-5df66e0efff9-0engSpringer 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/acceptedVersionPublicationORIGINAL2018_Book_DataMiningAndBigData.pdf2018_Book_DataMiningAndBigData.pdfapplication/pdf98003972https://repositorio.cuc.edu.co/bitstreams/bdb0ded7-fa67-43cb-a09c-0c5fe5469535/downloadd2b376aa32c26ace0bb2ae4d99e7679cMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstreams/cdb0ff60-e47f-4404-b565-34f28be265e3/download934f4ca17e109e0a05eaeaba504d7ce4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/1496cacf-c82b-4995-9a2f-6f3513f3649c/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAIL2018_Book_DataMiningAndBigData.pdf.jpg2018_Book_DataMiningAndBigData.pdf.jpgimage/jpeg22980https://repositorio.cuc.edu.co/bitstreams/b2268eb5-1544-4402-ba34-ade4638ac0af/downloadd680654770fe1ecdd5eb2fe5370c9996MD54TEXT2018_Book_DataMiningAndBigData.pdf.txt2018_Book_DataMiningAndBigData.pdf.txttext/plain1762694https://repositorio.cuc.edu.co/bitstreams/ec7ae9ac-72a4-44f9-9142-829a499a20b6/downloadc902ee6b9c185444d55855e281f4ae73MD5511323/3321oai:repositorio.cuc.edu.co:11323/33212024-09-17 14:22:34.217http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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

Dynamics of the air passenger transportation market in Colombia (2016)

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