A Holistic View of Big Data

A Holistic View of Big Data

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 sour...

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Veröffentlicht in:International journal of data warehousing and mining 2014-07, Vol.10 (3), p.59-69
Hauptverfasser: Kim, Won, Jeong, Ok-Ran, Kim, Chulyun
Format: Artikel
Sprache:eng
Schlagworte:
Big Data
Data analysis
Data mining
Data warehouses
Data warehousing
Database management systems
Freeware
Integrals
Methods
OLAP
Online analytical processing
Platforms
Social networks
Source code
Text analysis
Web analytics
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Zusammenfassung: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.
ISSN:1548-3924
1548-3932
DOI:10.4018/ijdwm.2014070104