A Holistic View of Big Data

被引：3
|
作者：
Kim, Won [1 ]
Jeong, Ok-Ran [1 ]
Kim, Chulyun [1 ]
机构：
[1] Gachon Univ, Dept Software Design & Management, Songnam, South Korea
来源：
INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING | 2014年 / 10卷 / 03期
基金：
新加坡国家研究基金会;
关键词：
Big Data; Data Mining; Data Preparation; Data Warehouse; DBMS; OLAP; Text Mining; Web Mining;
D O I：
10.4018/ijdwm.2014070104
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Today there is much hype about big data. The discussions seem to revolve around data mining technology, social Web data, and the open source platform of NoSQL and Hadoop. However, database, data warehouse and OLAP technologies are also integral parts of big data. Big data involves data from all sources, not just social Web data. Further, big data requires not only technology, but also a painstaking process for identifying, collecting, and preparing sufficient amounts of relevant data. This paper provides a holistic view of big data.
引用
收藏
页码：59 / 69
页数：11
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