Let's talk about the three V's.

Because Big data is such a complex environment and subject, it is divided into multiples subdomains.

When it comes to its vocabulary, there's always one topic that should cross your mind immediately. One of the most important that makes you understand how the data proceeds.
A concept called the "3 V's".


First, you might ask, what does this three V's stand for?

Well, they stand for:

• Volume
• Velocity
• Veracity

Let's get into it.

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Volume: 

As enormous amounts of data are known to get collected every day, it shows the complexity of the treatment of it. And it can be VERY big.

For example, it's always easier to take care of one dog (or any other animal, it's up to you), than having to look after 200. Imagine how it would be. 

Like come on, you'd need to be extremely organized. And you could even need some help, be sure of that.

It works exactly the same for big data. The bigger is the number of data collected, the more you will need to create data points in order to classify them and be able to treat it efficiently later.

Velocity:

Not only the data can be big, but it comes in fast. And grow fast too.

This flow of data is extremely useful if you want to have real-time information on your customers for example (location, activity...).

And because a lot of data is coming in (and very fast), you need to protect it from potential cyber-attacks which are unfortunately very common.

Variety:

Big data has something very special: It's incredibly varied. 

Remember the dog example we talked about in volume? Well, imagine that instead of having the same breed for the 200, imagine it's actually 200 different ones.

Data coming from social medias, e-commerce platforms, devices, locations, apps, documents, streaming, videos, images... It's almost infinite.

Sources:

Gewirtz, D. (2018). Volume, velocity, and variety: Understanding the three V's of big data | ZDNet. [online]

Available at: https://www.zdnet.com/article/volume-velocity-and-variety-understanding-the-three-vs-of-big-data/

Flowtraq.com. (2016). The Dangerous "Three Vs" of Big Data - FlowTraq. [online] 

Available at: https://www.flowtraq.com/dangerous-three-vs-big-data/