Big data is a term that refers to extremely large and complex data sets that cannot be easily managed, processed, and analyzed using traditional data processing tools and methods. The Vs of big data are a set of characteristics that describe the unique aspects of big data. These characteristics are volume, velocity, and variety. The correct answer in this case is option 'D', version, as it is not one of the Vs of big data.

- Volume:
The volume of big data refers to the vast amount of data that is generated and collected. It includes both structured and unstructured data from various sources such as social media, sensors, and transactional systems. The volume of data is often measured in petabytes or even exabytes.

- Velocity:
The velocity of big data refers to the speed at which data is generated, collected, and processed. With the advancement of technology, data is being generated at an unprecedented rate. Real-time data streaming and continuous data updates are common examples of the velocity of big data.

- Variety:
The variety of big data refers to the diverse types and formats of data that are available. It includes structured data (such as data in databases), semi-structured data (such as XML or JSON files), and unstructured data (such as text, images, and videos). The variety of data poses challenges in terms of storage, processing, and analysis.

- Version:
Version is not one of the Vs of big data. The concept of version refers to different iterations or releases of a particular software or technology. It is not directly related to the characteristics of big data. While data may have different versions in terms of updates or modifications, versioning is not considered a defining characteristic of big data.

In conclusion, the correct answer is option 'D', version, as it is not one of the Vs of big data. The Vs of big data are volume, velocity, and variety, which describe the characteristics of large and complex data sets.