COMPUTER FUNDAMENTALS

Detailed explanation-1: -Veracity is a big data characteristic related to consistency, accuracy, quality, and trustworthiness. Data veracity refers to the biasedness, noise, abnormality in data.

Detailed explanation-2: -Data veracity defines the degree to which data is accurate and precise. The Higher the level of accuracy, the higher the data will be trustworthy.

Detailed explanation-3: -In computer science, uncertain data is data that contains noise that makes it deviate from the correct, intended or original values. In the age of big data, uncertainty or data veracity is one of the defining characteristics of data. Data is constantly growing in volume, variety, velocity and uncertainty (1/veracity).

Detailed explanation-4: -Common Big Data Veracity Challenges One of the most undervalued properties of Big Data is veracity, which refers to the inherent biases, noise, and abnormalities in data. The data values may not be precise genuine numbers due to veracity, but they can be approximations.