FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Statement 1: Viscosity refers to the connectedness of big data. Statement 2: Volatility refers to the rate of data loss and stable lifetime of data.

Detailed explanation-2: -Valence: This refers to how big data can bond with each other, forming connections between otherwise disparate datasets. The above V’s are the dimensions that characterize big data, and also embody its challenges: We have huge amounts of data, in different formats and varying quality, that must be processed quickly.

Detailed explanation-3: -Veracity refers to the degree of accuracy in data sets and how trustworthy they are. Raw data collected from various sources can cause data quality issues that may be difficult to pinpoint.

Detailed explanation-4: -IBM data scientists break it into four dimensions: volume, variety, velocity and veracity.

Detailed explanation-5: -Big data is a collection of data from many different sources and is often describe by five characteristics: volume, value, variety, velocity, and veracity.