The assertions True, Value (one of the five "v's" of big data) deals with the pursuit of an important objective.
What are big data's five "v's"?
- The five primary innate qualities of big data are known as the "5 V's" (velocity, volume, value, variety, and veracity).
- Understanding the 5 V's enables data scientists to get more value out of their data and helps the organization where they work become more customer-centric.
- Big data was only ever discussed in terms of the three Vs, or volume, velocity, and variety, in the early years of this century.
- Two more Vs—value and veracity—have been added throughout time to make it easier for data scientists to articulate and convey the key features of big data.
To learn more about five 'v's' of big data, refer to:
https://brainly.com/question/16153005
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