Interview Question - What are the 43 Vs in Big Data

If you are asked to explain the Vs in Data in an interview, what will be your answer. Is it 3Vs, 4Vs, 5Vs, 7Vs or 10 Vs? You might be surprised that you have 43 Vs!!!

Like the evolution of data, number of Vs have evolved over time. 

Initially, it is 4Vs with Volume, Variety, Velocity and Veracity. Read detail at here. 

Source: https://www.ibmbigdatahub.com/infographic/extracting-business-value-4-vs-big-data

Then Value was added and it became 5Vs. Read details at here.

Source: https://www.edureka.co/blog/big-data-characteristics/

Then 5 become 8 with the additions Viscosity, Visualization, Virality, 

Source: https://twitter.com/vladobotsvadze/status/942197217473032192

It didn't take much longer to this to become 10 Vs. 

Source: http://houseofbots.com/news-detail/2819-1-the-10-v%27s-of-big-data

The latest article shows that we have 42 Vs which is not possible to draw in fancy diagrams. This article shows 42 different Vs as per in 2017. This article shows how the number of Vs have evolved over the years. 

Source: https://www.kdnuggets.com/2017/04/42-vs-big-data-data-science.html

During navigation through a Coursera course at  University of California San Diego, there is another V which is not in the 42. That is Valence. Valence in Big Data refers, to connectivity between data. When you are dealing with multiple data sets, there can be connectivity between data. When the Valence increases, you need to adapt to more complex algorithms. 

So we have 34 Vs of Properties of Big Data. Any things else you know. Surely, now this should have passed the hundred!