big data aspects i.e., volume, velocity, variety, veracity, value, variability.
The data deluge is due to 6Vs properties of big data, namely the volume, variety, value, velocity, veracity, and variability.
The original three V's (volume, velocity, variety) occur in many definitions compared to the relatively 'newer' V's (veracity, value, variability), which are present in only a few.
Thus, veracity, validity, value, variability, venue, vocabulary, and vagueness were added to make some complement explanation of big data [8].
Modern big data systems collect inherently complex data streams due to the volume, velocity, value, variety, variability, and veracity in the acquired data and consequently give rise to the 6Vs of big data.
In general, big data has four important features, so called four V's: volume of data, velocity of processing the data, variability of data sources, and veracity of the data quality.
Several more were added such as Validity, Veracity, Volatility and Value [20] as well as Variability [2].
Verisimilitude mattered more than veracity.
Von Roenne vouched for their veracity as well.
