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3V's is a term used to define the different attributes of big data: volume, variety and velocity. In 2001, the 3V's term was coined to define the constructs or attributes that make up an organization's stored and owned data repositories. 3V's is now used to define the trends and dimensions of big data.
The 3V's were discussed in the 2001 paper, "3D Data Management: Controlling Data Volume, Velocity and Variety," by Doug Laney. The paper predicted trends in data warehousing techniques that evolved from 2001 to 2006, particularly in e-commerce-based big data.
3V's is a data management trend that was conceived to help organizations realize and cope with the emergence of big data. The 3V's compare the storage, utilization and consumption of data with regards to the three base dimensions, and it encompasses all data forms, regardless of storage location or format, that are eventually compiled as a big data repository.