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iii. Variety

Big data area characterized through variety because it consists of

different and diverse types of data such as structured and unstructured

data (Qader, 2020). Unstructured data is disorganised and challenging
to analyse, compared to structured data, which is organised and

simple to analyse. Big data also incorporates information from a

variety of sources, including social media, sensors, and mobile
devices.

iv. Veracity

The correctness and dependability of data are referred to as veracity.

According to Qader (2020), big data is also consisting of data that
inconsistent, inaccurate, and incomplete, which might impact how

accurate the analysis is.

2.3 Big Data Analytics

According to Rawat (2021), big data analytics entails the use of advanced

technology to handle, store, and process enormous amounts of data in real
time. Big data analytics is the study and extraction of important patterns and

insights from enormous and complex databases, also known as big data. The

goal is to find hidden patterns, correlations, trends, and other important
information by analysing and interpreting enormous amounts of structured,

unstructured, and semi-structured data using a variety of methodologies and
technologies.

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