Big Data Is All About Data That We Don't Have

被引：0

作者：

Taniar, David ^{[1
]}

机构：

[1] Monash Univ, Fac Informat Technol, Clayton, Vic, Australia

来源：

2017 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND INFORMATION SYSTEMS (ICACSIS) | 2017年

关键词：

SPATIAL DATABASES; NOSQL DATABASES; TAXONOMY; QUERIES; SCALE; PERSPECTIVE; MAPREDUCE; SYSTEMS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Big Data is now becoming a buzzword in information technology industry and research. Is Big Data only about large volume of data?, and if it is yes, why is it suddenly becoming a trend? Hasn't the growth of data volume been gigantic in the last decade? From a research point of view, it is not surprising to see researchers from all walks of computer science are trying to align their research to Big Data for the sake of being trendy. The question remains whether it tackles the real Big Data problems. This paper describes the misconceptions of Big Data, presents motivating cases, and discusses the unavoidable challenges faced by industry and research.

引用

页码：1 / 7

页数：7

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