Part 2/18:
The Five V's of Big Data: Handling Volume, Variety, Velocity, Veracity, and Value
The discussion then pivots to the famous five V's of big data. Volume, variety, and velocity—representing the size, diversity, and speed of data—are managed through innovative architectures like lakehouses. However, the other two V's, veracity and value, remain more elusive. The speaker questions whether organizations are truly harnessing their data's full potential, pointing out that many platforms lack confidence in data quality or the ability to extract actionable value. This gap underscores the importance of not just collecting data but ensuring it's trustworthy and business-relevant.