The 6 Big Challenges for Big Data

The paradigm (or buzz word, depending on perspective) of Big Data has been formulated around the four Vs:

Volume — Vast amount of data generated every second
Velocity — Speed at which new data is generated and the speed at which data moves around
Variety — The different types of data we can now use
Veracity — messiness or trustworthiness of the data

While scientists and engineers around the world are working to control the 4V of this veritable tsunami data, it is important to consider less obvious new scientific questions that could structure the research in this area. There are six main “big challenges” for research on Big Data.

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