What are the three V's commonly associated with Big Data?

What are the three V's commonly associated with Big Data?

• A. Volume, Velocity, and Veracity
• B. Volume, Velocity, and Variety
• C. Volume, Veracity, and Variety
• D. Velocity, Variety, and Veracity

Answer: (B)

The main idea here is that Big Data is commonly described by three key properties, often shortened to the three V’s: Volume, Velocity, and Variety. Volume refers to how much data there is, which can be massive and growing over time. Velocity describes the speed at which data is generated and needs to be processed to gain timely insights. Variety highlights the different forms of data coming from many sources, such as text, numbers, images, logs, and sensor data. While some frameworks add Veracity as a fourth V to emphasize data quality and trustworthiness, the traditional trio is Volume, Velocity, and Variety. The option that lists exactly these three is the best choice, because the other options replace or omit one of these core terms.

The main idea here is that Big Data is commonly described by three key properties, often shortened to the three V’s: Volume, Velocity, and Variety. Volume refers to how much data there is, which can be massive and growing over time. Velocity describes the speed at which data is generated and needs to be processed to gain timely insights. Variety highlights the different forms of data coming from many sources, such as text, numbers, images, logs, and sensor data. While some frameworks add Veracity as a fourth V to emphasize data quality and trustworthiness, the traditional trio is Volume, Velocity, and Variety. The option that lists exactly these three is the best choice, because the other options replace or omit one of these core terms.