A smart-city pilot claims "we have Big Data" because cameras exist. Staff must map which of the 4 V's actually stress their stack. Which approach is most aligned with BDPC fundamentals?
Select an answer to reveal the explanation.
Short Explanation
Owning a camera is like owning a hose—you still have to ask how much water, how fast, what kind of mess, and whether the reading is trustworthy. Big Data claims need all four V's checked against the real stack, not a hardware receipt. Staff should diagnose, not declare victory.
Full Explanation
BDPC expects practitioners to apply Volume, Velocity, Variety, and Veracity together when characterizing workloads. Camera presence alone does not prove a Big Data stress profile or that every V is addressed. Ignoring veracity or reducing the framework to volume-only leaves blind spots in diagnosing what actually stresses capture, storage, processing, and trust.