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ii. Structured Data

According to Ryu (2020), structured data is data that is organised in a

prescribed way and can be readily processed and analysed. It is

commonly kept in relational databases or spreadsheets, where data
items are organised into tables with specified rows and columns.

Since structured data adheres to a consistent and standardised format,

it is simple to search for, save, retrieve, and examine using traditional
database management systems.

2.2.2 Characteristic of Big Data

The characteristics of big data are known as the four Vs of big data. This

includes volume, variety, velocity and variability.

i. Volume

According to Qader (2020), large amounts of data are referred to as

"big data," and one of their most important features is their volume.
Big data processing must occur in real time or relatively near to it

because it generates at an unprecedented rate. Data is continuously
streaming in from many sources such as social media feeds, sensors,

and gadgets, and organisations must acquire, process, and analyse this
data fast in order to generate useful insights.

ii. Velocity

The rate at which data is created, gathered, and processed is referred
to as its velocity. Big data is produced quickly, therefore it's crucial

to handle and analyse it in real time to gain useful insights (Qader,
2020).

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