Data Analytics
With the coming of smartphones so much data, it generates in the form of texts phone calls emails photos video searches and music approximately 40 exabytes of data gets generated every month by a single smartphone user. Now imagine this number multiplied by 5 billion smartphone users that’s a lot for our mind to even process. This amount of data is quite a lot for traditional computing systems to handle and this massive amount of data is what we term as big data.

That’s a lot of data so how do you classify any data as big data this is possible with the concept of 5 V’s Volume Velocity Variety Veracity and Value. For example from the healthcare industry hospitals and clinics across the world generate massive volumes of data. 2314 exabytes of data are collected annually in the form of patient records and test results. All this data is generated at a very high speed which attributes to the velocity of big data. Variety refers to the various data types such as structured semi-structured and unstructured data, examples include Excel records, log files, and x-ray images. Accuracy and trustworthiness of the generated data are termed as veracity analyzing all this data will benefit the medical sector by enabling faster disease detection better treatment and reduced cost this is known as the value of Big Data.
Volume
Velocity
Variety
Veracity
Value

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