REPOSITORIO
INSTITUCIONAL

    • español
    • English
  • Site map
  • English 
    • español
    • English
  • Login
  • Artículos(current)
  • Libros
  • Tesis
  • Trabajos de grado
  • Documentos Institucionales
    • Actas
    • Acuerdos
    • Decretos
    • Resoluciones
  • Multimedia
  • Productos de investigación
  • Acerca de
View Item 
  •   Home
  • Artículos
  • Indexados Scopus
  • View Item
  •   Home
  • Artículos
  • Indexados Scopus
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Collaborative creation of a reference architecture for the implementation of data service platforms

Thumbnail
Share this
Author
Jiménez E.E.G.
Quintero J.B.
Losada B.M.

Citación

       
TY - GEN T1 - Collaborative creation of a reference architecture for the implementation of data service platforms AU - Jiménez E.E.G. AU - Quintero J.B. AU - Losada B.M. UR - http://hdl.handle.net/11407/5928 AB - Big Data refers to data set whose volume, velocity, and variety make it difficult to capture, manage and process using conventional technologies and tools. This concept is generating new needs in organizations to allow the capture, storage, and analysis of data with these characteristics and thus obtain relevant information for decision-making. A challenge for organizations is the implementation of an architecture that covers these needs, since they must consider the different existing technologies and must establish the policies for data governance that will be available to users. A reference architecture of a data analytics platform that is capable of decoupling from technological tools will be a guide that will allow organizations to define a path to achieve the management of these data and thus have effective tools for make decisions in the company. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. ER - @misc{11407_5928, author = {Jiménez E.E.G. and Quintero J.B. and Losada B.M.}, title = {Collaborative creation of a reference architecture for the implementation of data service platforms}, year = {}, abstract = {Big Data refers to data set whose volume, velocity, and variety make it difficult to capture, manage and process using conventional technologies and tools. This concept is generating new needs in organizations to allow the capture, storage, and analysis of data with these characteristics and thus obtain relevant information for decision-making. A challenge for organizations is the implementation of an architecture that covers these needs, since they must consider the different existing technologies and must establish the policies for data governance that will be available to users. A reference architecture of a data analytics platform that is capable of decoupling from technological tools will be a guide that will allow organizations to define a path to achieve the management of these data and thus have effective tools for make decisions in the company. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.}, url = {http://hdl.handle.net/11407/5928} }RT Generic T1 Collaborative creation of a reference architecture for the implementation of data service platforms A1 Jiménez E.E.G. A1 Quintero J.B. A1 Losada B.M. LK http://hdl.handle.net/11407/5928 AB Big Data refers to data set whose volume, velocity, and variety make it difficult to capture, manage and process using conventional technologies and tools. This concept is generating new needs in organizations to allow the capture, storage, and analysis of data with these characteristics and thus obtain relevant information for decision-making. A challenge for organizations is the implementation of an architecture that covers these needs, since they must consider the different existing technologies and must establish the policies for data governance that will be available to users. A reference architecture of a data analytics platform that is capable of decoupling from technological tools will be a guide that will allow organizations to define a path to achieve the management of these data and thus have effective tools for make decisions in the company. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved. OL Spanish (121)
Gestores bibliográficos
Refworks
Zotero
BibTeX
CiteULike
Metadata
Show full item record
Abstract
Big Data refers to data set whose volume, velocity, and variety make it difficult to capture, manage and process using conventional technologies and tools. This concept is generating new needs in organizations to allow the capture, storage, and analysis of data with these characteristics and thus obtain relevant information for decision-making. A challenge for organizations is the implementation of an architecture that covers these needs, since they must consider the different existing technologies and must establish the policies for data governance that will be available to users. A reference architecture of a data analytics platform that is capable of decoupling from technological tools will be a guide that will allow organizations to define a path to achieve the management of these data and thus have effective tools for make decisions in the company. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
URI
http://hdl.handle.net/11407/5928
Collections
  • Indexados Scopus [2005]
All of RI UdeMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
My AccountLoginRegister
Statistics GTMView statistics GTM
OFERTA ACADÉMICA
  • Oferta académica completa
  • Facultad de Derecho
  • Facultad de Comunicación
  • Facultad de Ingenierías
  • Facultad de Ciencias Económicas y Administrativas
  • Facultad de Ciencias Sociales y Humanas
  • Facultad de Ciencias Básicas
  • Facultad de Diseño
SERVICIOS
  • Teatro
  • Educación continuada
  • Centro de Idiomas
  • Consultorio Jurídico
  • Centro de Asesorías y Consultorías
  • Prácticas empresariales
  • Operadora Profesional de Certámenes
INVESTIGACIÓN
  • Biblioteca
  • Centros de investigación
  • Revistas científicas
  • Repositorio institucional
  • Universidad - Empresa - Estado - Sociedad

Universidad de Medellín - Teléfono: +57 (4) 590 4500 Ext. 11422 - Dirección: Carrera 87 N° 30 - 65 Medellín - Colombia - Suramérica
© Copyright 2012 ® Todos los Derechos Reservados
Contacto

 infotegra.com