Examples of the Three V's of Big Data?
Volume:
Simply stated, big data is to big to work on one computer. This is a relative definition, as what can't work on today's computer will easily work on computers in the future.
 - One Google search uses the computing power of the entire Apollo space mission.
 - Excel used to hold up to 65k rows in a single spreadsheet. Now it holds over a million.

Velocity:
Data is coming in extremely fast. Traditional scientific research methods of a few hundred cases could take weeks, months or even years to analyze and publish.
 - Iris flower data set
 - Statistical Programming Language R
 - Twitter Firehose (6,000 tweets per second)      

Variety:
Big Data that is contained in one specific data type or does not fit well within the format of a relational database. This data often comes in the form of unstructured text.
 - Estimated 80% of all enterprise data is unstructured
 - Open Data(Government)
 - noSql Databases

Iris Data Set: https://en.wikipedia.org/wiki/Iris_flower_data_set
Open Data: https://www.data.gov/open-gov/