Veracity of data

Data can be analyzed for actionable insights, but with so much data of all types being analyzed from across data sources, it is very difficult to ensure correctness and proof of accuracy.

The following are the four Vs of big data:

To make sense of all the data and apply data analytics to big data, we need to expand the concept of data analytics to operate at a much larger scale that deals with the four Vs of big data. This changes not only the tools and technologies and methodologies used in analyzing the data, but also changes the way we even approach the problem. If a SQL database was used for data in a business in 1999, to handle the data now for the same business, we will need a distributed SQL database that is scalable and adaptable to the nuances of the big data space.

The four Vs described earlier are no longer sufficient to cover the capabilities and needs of big data analytics, hence nowadays it's common to hear about the seven Vs instead of the four Vs.