Which options are part of the five Vs of big data? (Select TWO.)

The five Vs of big data are essential characteristics that help define the complexities and challenges associated with managing and analyzing large datasets. Among these, Volume and Velocity are two core aspects.

Volume refers to the vast amounts of data generated every second from various sources such as social media, IoT devices, and transaction records. The ability to process and store this enormous amount of data is critical for organizations looking to derive insights.

Velocity deals with the speed at which new data is generated and needs to be processed. In today’s fast-paced digital environment, timely access to data allows organizations to make informed decisions quickly.

These characteristics highlight the essence of big data and its implications in data engineering and analytics. Value and Veracity, while important concepts related to big data, do not constitute the core five Vs. Value pertains to the usefulness of the data in deriving insights, while Veracity refers to the trustworthiness and accuracy of data. Although they are critical for comprehensive data strategies, they are not part of the original framework defining the five Vs.