A Novel Multidimensional Approach to Integrate Big Data in Business Intelligence
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/60847
Título: | A Novel Multidimensional Approach to Integrate Big Data in Business Intelligence |
---|---|
Autor/es: | Maté, Alejandro | Llorens Martínez, Héctor | Gregorio Medrano, Elisa de | Tardío, Roberto | Gil, David | Muñoz Terol, Rafael | Trujillo, Juan |
Grupo/s de investigación o GITE: | Lucentia |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Big Data | Business Intelligence | Conceptual models | OLAP cube | RDF/XML |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 2015 |
Editor: | IGI Global |
Cita bibliográfica: | Journal of Database Management. 2015, 26(2): 14-31. doi:10.4018/JDM.2015040102 |
Resumen: | The huge amount of information available and its heterogeneity has surpassed the capacity of current data management technologies. Dealing with huge amounts of structured and unstructured data, often referred as Big Data, is a hot research topic and a technological challenge. In this paper, the authors present an approach aimed to enable OLAP queries over different, heterogeneous, data sources. Their approach is based on a MapReduce paradigm, which integrates different formats into the recent RDF Data Cube format. The benefits of their approach are that it is capable of querying different sources of information, while maintaining at the same time, an integrated, comprehensive view of the data available. The paper discusses the advantages and disadvantages, as well as the implementation challenges that such approach presents. Furthermore, the approach is evaluated in detail by means of a case study. |
Patrocinador/es: | This work has been funded by the Spanish Ministry of Economy and Competitiveness under the project Grant GEODAS-BI (TIN2012-37493-C03-03). |
URI: | http://hdl.handle.net/10045/60847 |
ISSN: | 1063-8016 (Print) | 1533-8010 (Online) |
DOI: | 10.4018/JDM.2015040102 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2015, IGI Global |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.4018/JDM.2015040102 |
Aparece en las colecciones: | INV - LUCENTIA - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2015_Mate_etal_JDM.pdf | Acceso restringido | 1,55 MB | Adobe PDF | Abrir Solicitar una copia |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.