Modeling and Management of Big Data: Challenges and opportunities

被引：40

作者：

Gil, David ^{[1
]}

Song, Il-Yeol ^{[2
]}

机构：

[1] Univ Alicante, Lucentia Res Grp, Comp Technol & Data Proc, San Vicente Del Raspei, Alacant, Spain

[2] Drexel Univ, Coll Comp & Informat, Philadelphia, PA 19104 USA

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2016年 / 63卷

关键词：

Conceptual modeling Big Data; Ecosystem; Integrate & analyze & visualize; BUSINESS INTELLIGENCE; STRUCTURED DATA; TABLES; CLOUD;

D O I：

10.1016/j.future.2015.07.019

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：96 / 99

页数：4

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