The document discusses the 5 V's of big data: volume refers to the large amounts of data companies manage and analyze as shown by vehicle sales numbers; variety means the diverse types of structured, unstructured, and raw data collected as depicted in an image of data acquisition methods; velocity is the speed at which data is received, stored, and managed shown by the rate of data capture per second; value refers to data usefulness being dependent on converting it into useful insights through processing; and veracity refers to ensuring data quality and credibility as shown by a 100% autonomous data penetration rate.

1. By:
Karthik Kumar S
EDBA21006

2. 5 V's of Big Data

3. 1. Volume
The size and amounts of big data that companies manage and analyze, the below chart shows the number of
vehicles sold from 1951 to 2019.

4. 2.Variety
The diversity and range of different data types, including unstructured data, semi-structured data and raw data, the below
image shows the different means of data acquisition.

5. 3.Velocity
The speed at which companies receive, store and manage data – e.g., the below details shows how fast the data
is captured per second.

6. 4.Value
Big data value refers to the usefulness of gathered data for your business Data by itself, regardless of its volume,
usually isn’t very useful — to be valuable, it needs to be converted into insights or information, and that is where
data processing steps in.

7. 5.Veracity
Big data veracity refers to the assurance of quality or credibility of the collected data where the below data shows
100% autonomous penetration.

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