Big data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered. Big data often comes from multiple sources and arrives in multiple formats.

Reference: https://www.investopedia.com/terms/b/big-data.asp

In the year 2001, the analytics firm MetaGroup (now Gartner) introduced data scientists and analysts to the 3Vs of 3D Data, which are Volume, Velocity, and Variety. Over a period of time, data analytics as a field saw a rampant change in how data is captured and processed. As part of this evolution, data was growing so rapidly in size that it came to be known as big data. With the astronomical growth of data, two new Vs —Value and Veracity— have been added by Gartner to the data processing concepts. (https://acuvate.com/blog/understanding-the-5vs-of-big-data/ )

Source: https://www.edureka.co/blog/big-data-characteristics/ 

What is Big Data? - Edpuzzle

The video on your left is a video on Edpuzzle. Throughout the duration of the video, the video will be paused for you to answer question. You may skip the question or you may do the question and click Continue. I suggest that you don't skip. Just stop and give it a thought about the answers.

This is an infographic on 5 Vs of Big Data from IBM. Initially, IBM stated 4 Vs. This is an updated with the 5th V is located outside of the original 4. But still good information. Click the image to see the full infographic