Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making
For the most part, in popularizing the big data concept, the analyst community and the media have seemed to latch onto the alliteration that appears at the beginning of the definition, hyperfocusing on what is referred to as the “3 Vs—volume, velocity, and variety.” Others have built upon that meme to inject additional Vs such as “value” or “variability,” intended to capitalize on an apparent improvement to the definition.
Increased data volumes being captured and stored
Rapid acceleration of data growth
Increased data volumes pushed into the network
Growing variation in types of data assets for analysis
Alternate and unsynchronized methods for facilitating data delivery
Rising demand for real-time integration of analytical results
LOWERING THE BARRIER TO ENTRY