Modeling and Management of Big Data: Challenges and opportunities

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/57265
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Title: Modeling and Management of Big Data: Challenges and opportunities
Authors: Gil, David | Song, Il-Yeol
Research Group/s: Lucentia
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Conceptual modeling Big Data | Ecosystem | Integrate & analyze & visualize
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: Oct-2016
Publisher: Elsevier
Citation: Future Generation Computer Systems. 2016, 63: 96-99. doi:10.1016/j.future.2015.07.019
Abstract: The term Big Data denotes huge-volume, complex, rapid growing datasets with numerous, autonomous and independent sources. In these new circumstances Big Data bring many attractive opportunities; however, good opportunities are always followed by challenges, such as modelling, new paradigms, novel architectures that require original approaches to address data complexities. The purpose of this special issue on Modeling and Management of Big Data is to discuss research and experience in modelling and to develop as well as deploy systems and techniques to deal with Big Data. A summary of the selected papers is presented, followed by a conceptual modelling proposal for Big Data. Big Data creates new requirements based on complexities in data capture, data storage, data analysis and data visualization. These concerns are discussed in detail in this study and proposals are recommended for specific areas of future research.
URI: http://hdl.handle.net/10045/57265
ISSN: 0167-739X (Print) | 1872-7115 (Online)
DOI: 10.1016/j.future.2015.07.019
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2015 Elsevier B.V.
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/j.future.2015.07.019
Appears in Collections:INV - LUCENTIA - Artículos de Revistas

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