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The massive set of information generated with the utilization of the latest technologies is called big data. This large set of data is used for individual and organizational purposes. Previously, the information was generated, stored, and processed easily because of limited sources of data. The conventional database was the single supply of data. Most of the data in the conventional database was in structured format. Presently, data is in a wide variety of formats such as sensor data, email messages, images, audio, and video, which makes the big data. Most of this data is unstructured. The five common big data characteristics are volume, variety, veracity, velocity, and value. Apart from the abovementioned five dimensions of big data, many researchers also added new dimensions of big data. Other dimensions of big data are volatility, validity, visualization, and variability. Big data is characterized by following commonly adopted V’s. Figure 3.1 and Table 3.1 represent the big data features in term of Vs [24].

Figure 3.1 Dimensions of big data.

Table 3.1 Dimensions of big data.

Dimensions of big data	Description
Volume	In general, volume refers to quantity or amount. The data that contains gigantic larger data sets is called volume in big data. Big data is known for its voluminous size. The data is being produced on a daily basis from various places.
Variety	Meaning of variety is diversity. The data that are generated and collected from diversified sources is called a variety in big data. Usually, big data is in a variety of forms that comprises structured, semi-structured, and unstructured data.
Velocity	Velocity means speed. In big data context, the velocity denotes the speed of data creation. Big data is arriving at a faster rate, like a stream of water.
Veracity	The veracity is the credibility, reliability, and accuracy in big data and the quality of the data sources.
Variability	The variability is not the same as variety. The variability means data that are regularly changing. This is an important feature of big data.
Visualization	Big data is illustrated in the pictorial form using the data visualization tools.
Value	The potential derived from the big data is known as value.