Identifying Big Data Dimensions and Structure

被引:0
作者
Dave, Meenu [1 ]
Kamal, Jahangir [1 ]
机构
[1] Jagan Nath Univ, Jaipur, Rajasthan, India
来源
PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K17) | 2017年
关键词
Big Data; Dimensions; Characteristics; NoSQL; HACETheorem; NIST; !text type='JSON']JSON[!/text; SGML; BibTex;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As the Big Data gets recognition, everything that is being stored electronically in bulk cannot be termed as Big Data. Nowadays efforts are being made to extract maximum useful information from analyzing Big Data, as it contains growing value to the organization and actionable relationships are abundantly found in Big Data stores as compared to the small stores. Big Data from various organizations or industries is being recognized on the basis of certain characteristics (dimensions) and structure. The characteristics of Big Data started with 3Vs (Volume, Velocity, and Variety), but new dimensions are getting evolved day by day and thus broadening the dimensions and definition of Big Data. In this paper, the growing characteristics and structure of Big Data with new definitions from academia and corporate world have been elaborated.
引用
收藏
页码:163 / 168
页数:6
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