A Holistic View of Big Data
Won Kim,
Ok-Ran Jeong and
Chulyun Kim
Additional contact information
Won Kim: Department of Software Design and Management, Gachon University, Seongnam Si, South Korea
Ok-Ran Jeong: Department of Software Design and Management, Gachon University, Seongnam Si, South Korea
Chulyun Kim: Department of Software Design and Management, Gachon University, Seongnam Si, South Korea
International Journal of Data Warehousing and Mining (IJDWM), 2014, vol. 10, issue 3, 59-69
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.
Date: 2014
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijdwm.2014070104 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:10:y:2014:i:3:p:59-69
Access Statistics for this article
International Journal of Data Warehousing and Mining (IJDWM) is currently edited by Eric Pardede
More articles in International Journal of Data Warehousing and Mining (IJDWM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().