What do the defining characteristics of big data include, commonly referred to as the "V's"?

The defining characteristics of big data are commonly described using the "V's," which include volume, variety, velocity, and veracity.

Volume refers to the sheer amount of data generated from various sources, including social media, sensors, and transactions. This characteristic emphasizes the scale of data present in today's digital landscape, which can be petabytes or even zettabytes in size.

Variety indicates the different types of data that can come from various sources. Big data encompasses structured data, such as databases, as well as unstructured data like text, images, and videos. The ability to handle and analyze this diverse set of data types is critical for deriving meaningful insights.

Velocity pertains to the speed at which data is generated, processed, and analyzed. In a digital world where real-time data processing is becoming increasingly important, organizations must be able to capture and analyze data in near real-time to make timely decisions.

Veracity addresses the quality and trustworthiness of the data. Given that big data can come from many different sources and in various formats, ensuring the accuracy and reliability of this data is vital for effective decision-making.

The other options do not fully align with the established definition of the "V's" of big data, as they either misrepresent