Difference between revisions of "Big data"
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==Definition== | ==Definition== | ||
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| + | ==Purpose & Benefits== | ||
| + | Big Data benefits the organisation through better decision making at all levels. It provides strategic, operational and tactical information to decision makers. Business intelligence applications report, analyse and present data, ideally previously stored in a data warehouse although it may have been stored in other, less structured and scalable environments. | ||
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| + | ==Description== | ||
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| + | ==Variations== | ||
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| + | ==Implementation Guide== | ||
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| + | ==Success Factors== | ||
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| + | ==Common Pitfalls== | ||
==Related articles== | ==Related articles== | ||
Revision as of 09:40, 7 March 2016
Contents
Definition
An all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process them using traditional data processing applications ( http://en.wikipedia.org/wiki/Big_data Wikipedia)
Purpose & Benefits
Big Data benefits the organisation through better decision making at all levels. It provides strategic, operational and tactical information to decision makers. Business intelligence applications report, analyse and present data, ideally previously stored in a data warehouse although it may have been stored in other, less structured and scalable environments.
