In-database processing: Difference between revisions

Revision as of 00:31, 22 June 2012

Revision as of 01:05, 27 October 2012

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{{Too many categories|date=October 2011}}

'''In-database processing''', sometimes referred to as in-database analytics, refers to the integration of data [[analytics]] into [[data warehousing]] functionality. Today, many large databases, such as those used for credit card fraud detection and investment bank risk management, use this technology because it provides significant performance improvements over traditional methods.<ref>{{citation|title=What Is In-Database Processing?|url=http://www.wisegeek.com/what-is-in-database-processing.htm|publisher=Wise Geek|accessdate=May 14, 2012}}</ref>

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==Related Technologies==

In-database processing is one of several technologies focused on improving data warehousing performance. Others include [[parallel computing]], shared everything architectures, [[shared nothing architecture]]s and [[massive parallel processing]]. It is an important step towards improving [[predictive analytics]] capabilities.<ref name="TimManns">[http://timmanns.blogspot.com/2009/01/isnt-in-database-processing-old-news.html] "Isn't In-database processing old news yet?," "Blog by Tim Manns (Data Mining Blog)," January 8, 2009</ref>

==References==

{{Reflist|2}}

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[[Category:Database management systems]]

[[Category:Applied data mining]]

[[Category:Data modeling]]

[[Category:Database theory]]

[[Category:Project management]]

[[Category:System administration]]

[[Category:Transaction processing]]

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