Century of Data has just begun, and we all are overwhelmed with the flow and intensity of data coming to us every day. This is incredible feat human race has achieved in a very short span.
We had to coin new jargon to represent - 'processing of massive amount of data' - Big Data. Soon with the current rate of acceleration of data accumulation we are moving towards handling super big data.
The challenge now is finding the right, relevant information from data. 'Like a needle in Haystack'. Millions of dollars are poured by businesses in getting information from data. Classifying sources of data on the basis of information density is next logical step to bring sanity to the process of information extraction from data.
Factors of information density - (Inference Quotient * Data Volume * Data Speed * Structural Quotient)
Inference Quotient: Degree to which direct inference can be extracted from data to reach the relevant information
Data Volume: More the volume, lesser the density
Data Speed: Greater the speed, lesser the density
Structural Quotient: Degree of Structuredness (more structured higher density)
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