名称：商务与经济统计
作者:安德森,斯威尼,威
出版社:机械工业出版社
格式：pdf,txt
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《商务与经济统计（英文版·原书第13版）》：
Larger and more complex data sets are now often referred to as big data， Although there does not seem to be a universally accepted definition of big data， many think if it as a set of data that cannot be managed， processed， or analyzed with commonly available software in a reasonable amount of time.Many data analysts define big data by referring to the three v's of data： volume， velocity， and variety.Volume refers to the amount of available data （the typical unit of measure for is now a terabyte， which is 1012 bytes）； velocity refers to the speed at which data is collected and processed； and variety refers to the different data types.
The term data warehousing is used to refer to the process of capturing， storing， and maintaining the data.Computing power and data collection tools have reached the point where it is now feasible to store and retrieve extremely large quantities of data in seconds.Analysis of the data in the warehouse may result in decisions that will lead to new strategies and higher profits for the organization.For example， General Electric （GE） captures a large amount of data from sensors on its aircraft engines each time a plane takes off or lands.Capturing these data allows GE to offer an important service to its customers： GE monitors the engine performance and can alen its customer when service is needed or a problem is likely to occur.
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