Which term is NOT one of the Five Vs of Big Data?

Which term is NOT one of the Five Vs of Big Data?

• A. Volume
• B. Velocity
• C. Variety
• D. Validity

Answer: (D)

The Five Vs of Big Data describe the main properties that define big data: Volume, Velocity, Variety, Veracity, and Value. Among these, Validity isn’t included. Volume is about how much data there is; Velocity refers to the speed of data generation and processing; Variety covers the different data types and sources; Veracity concerns the trustworthiness and quality of the data; Value points to the business usefulness derived from the data. Validity, while important in research design to indicate whether a measurement or study actually reflects what it aims to assess, is not one of the standard big data characteristics. So Validity is not part of the Five Vs.

The Five Vs of Big Data describe the main properties that define big data: Volume, Velocity, Variety, Veracity, and Value. Among these, Validity isn’t included. Volume is about how much data there is; Velocity refers to the speed of data generation and processing; Variety covers the different data types and sources; Veracity concerns the trustworthiness and quality of the data; Value points to the business usefulness derived from the data. Validity, while important in research design to indicate whether a measurement or study actually reflects what it aims to assess, is not one of the standard big data characteristics. So Validity is not part of the Five Vs.