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A Holistic View of Big Data

Authors
김원정옥란김철연
Issue Date
Jul-2014
Publisher
IGI PUBL
Citation
INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, v.10, no.3, pp 59 - 69
Pages
11
Journal Title
INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING
Volume
10
Number
3
Start Page
59
End Page
69
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/147294
DOI
10.4018/ijdwm.2014070104
ISSN
1548-3924
1548-3932
Abstract
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.
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