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Modeling and Management of Big Data: Challenges and opportunities
Journal article   Open access   Peer reviewed

Modeling and Management of Big Data: Challenges and opportunities

David Gil and Il-Yeol Song
Future generation computer systems, v 63, pp 96-99
Oct 2016
DOI: https://doi.org/10.1016/j.future.2015.07.019
url
http://hdl.handle.net/10045/57265View
Accepted (AM)Open Access (License Unspecified),  Open

Abstract

Conceptual modeling Big Data Ecosystem Integrate & analyze & visualize
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. •Objectives of the third International Workshop on Modeling and Management of Big Data (MoBiD’14).•Summary of the selected papers.•Conceptual modeling in the big data era.•Expectation in these topics for this and the next editions of this workshop.

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54 citations in Scopus

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Domestic collaboration
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Computer Science, Theory & Methods
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