FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -What is Veracity in Big Data? Veracity is a big data characteristic related to consistency, accuracy, quality, and trustworthiness. Data veracity refers to the biasedness, noise, abnormality in data. It also refers to incomplete data or the presence of errors, outliers, and missing values.

Detailed explanation-2: -Veracity. Veracity refers to the trustworthiness and quality of the data. If the data is not trustworthy and/or reliable, then the value of Big Data remains unquestionable. This is especially true when working with data that is updated in real-time.

Detailed explanation-3: -Data veracity, in general, is how accurate or truthful a data set may be. In the context of big data, however, it takes on a bit more meaning. More specifically, when it comes to the accuracy of big data, it’s not just the quality of the data itself but how trustworthy the data source, type, and processing of it is.

Detailed explanation-4: -habitual observance of truth in speech or statement; truthfulness: He was not noted for his veracity. conformity to truth or fact; accuracy: to question the veracity of his account. correctness or accuracy, as of the senses or of a scientific instrument. something veracious; a truth.