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It refers to the size of the data that need to be processed and analyzed.
Example: All credit card transaction on a day
It refers to the change, inconsistency or fluctuation in data over time.
It refers to the way in which data and its processing can provide value to organizations.
It refers to the possibility of using tables and graphs to analyze large amounts of data.
It refers to the different types of data that exist.
It is data that does not have a specific structure, but has some degree of organization.
Example : a e-mail
It is data that does not have a predetermined format.
Example : media files
It is data organized in a predefined format.
Example : filled information tables
It refers to the quality of the data that is being analyzed.
It refers to the speed at which data is processed and becomes accessible.
