Big data can be define with with 7 V's
Volume
Volume is how much data we have – what used to be measured in Gigabytes is now measured in Zettabytes (ZB) or even Yottabytes (YB)
Velocity
Speed in which data is accessible
Variety
Different types of data including structured , unstructured (audio,video) or semi structured data (XML)
Variability
Variability is different from variety. A coffee shop may offer 6 different blends of coffee, but if you get the same blend every day and it tastes different every day, that is variability. The same is true of data, if the meaning is constantly changing it can have a huge impact on your data homogenization
Veracity
Veracity is all about making sure the data is accurate, which requires processes to keep the bad data from accumulating in your systemsVisualization
Using charts and graphs to visualize the data
Value
It is the end game. After addressing 6V's defined above we get the data which takes a lot of time, effort and resources – we want to be sure that our organization is getting value from the data.
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You actually make it look so easy with your performance but I find this matter to be actually something which I think I would never comprehend. It seems too complicated and extremely broad for me. I'm looking forward for your next post, I’ll try to get the hang of it!
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