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There are three dimensions to big data known as Volume, Variety and Velocity.Lately, the term "big data" tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.Hard disk drives were 2.5GB in 1991 so the definition of big data continuously evolves according to Kryder's Law.Teradata installed the first petabyte class RDBMS based system in 2007.For example, to manage a factory one must consider both visible and invisible issues with various components.Information generation algorithms must detect and address invisible issues such as machine degradation, component wear, etc. Big data repositories have existed in many forms, often built by corporations with a special need.Some but not all MPP relational databases have the ability to store and manage petabytes of data.

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Data must be processed with advanced tools (analytics and algorithms) to reveal meaningful information.Relational database management systems and desktop statistics- and visualization-packages often have difficulty handling big data.

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