FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.

Detailed explanation-2: -The 5 V’s of big data (velocity, volume, value, variety and veracity) are the five main and innate characteristics of big data. Knowing the 5 V’s allows data scientists to derive more value from their data while also allowing the scientists’ organization to become more customer-centric.

Detailed explanation-3: -After addressing volume, velocity, variety, variability, veracity, and visualization-which takes a lot of time, effort, and resources-, you want to be sure your organization is getting value from the data.

Detailed explanation-4: -Six V’s of big data (value, volume, velocity, variety, veracity, and variability), which also apply to health data.

Detailed explanation-5: -The 10 Vs of big data are Volume, Velocity, Variety, Veracity, Variability, Value, Viscosity, Volume growth rate, Volume change rate, and Variance in volume change rate. These are the characteristics of big data and help to understand its complexity.