Big data is produced daily in many forms from social networks to online transaction, from organization to sensors, but these huge data must be charactuzed as big data, big data have some characteristics which are called as v’s of big data.

Here are the characteristics of big data:

Volume

Volume refers to the size of the big data i.e. how much is the size of thedta is big data, today data in petabytes are consider as big data.

Velocity

Velocity means the speed or pace at whichdata is generated,Big data is generated at very high speed which is streamed data in miliseconds oor in seconds, these fast data should be analyzed in real time to get insights to make fast decisions in enterprises,business organizations,scientific research etc.

Variety

Variety is the different types of data in big data which are structured data,unstructured data,semi structured data like database tables,text,images,audio,videos,web logs,xml,json etc.

Variety of data in big data increases complexities in analyzing and processing big

Veracity

Veracity of big data is the noise,uncertainity,incompleteness,disception,errors untruthness,biashed and inconsistency in big data.

Valence

Valence is the connectivity between the various data, if data in big data ismore connected (valenced) more indepth insights comes out or if data is less connecte less insights comes out.

Validty

Validity is the accuracy or correctness of data for a particula use.

Variabilty

Volatility is the rate of data loss and stable lifetime of the data.

Vocbulary

Vocabulary means , metadata describing the structure.

Vagueness

Vagueness is the confusion about what big data, means that particular application for that application.

Value

Valie is the the outcome of all the v’s of big data i.e. some in depth insights comes out to make decisions in real time.