Big Data is used to describe data sets so large and complex that they become awkward to use. The difficulties include capture, storage, search, sharing, analysis, and visualization. An often quoted fact about Big Data is a variation of – Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
The mere existence of this data merits the development of an entire industry called Big Data.
It all sounds impressive but fails to take into account population growth, literacy rates and the means to record data. All three exploded in the last 200 years. It’s a bit like saying there are more French Fries being made now than in the history of the world.
This is not to say that French Fries, pardon, Big Data is without value. Quite the contrary. The value of Big Data is in using it, not its mere existence. But there are many aspects to its use. To use an analogy, Big Data is like water and exists in different phases: