Big Data is not about Cloud Computing though it uses the cloud as the computing engine.
Big Data it is not a killer technology nor a killer app, rather it is a distilled version of the best apps and solutions to handle huge volumes of data bundled with awesome analytic and graphical tools, which churn out output faster then ever before from Big Data (measured in Terabytes and Petabytes).
You need large quantum of clean and usable data to get a ROI and also effective and useful results working on Big Data,.
The fist step is clean data, the second step is what we want to achieve by analyzing this clean data and for this we need a road map, at least we will have some idea of where to reach, though our destination may change in our journey as we sieve through the Big Data..
The right team will succeed with tenacity , knowledge and ability to handle analyse and interpret the results provided by the Big Data tools, assembling a highly competent and skilled set of people to work as a team would be the challenge.
How many Hues can you get in this picture, sieving through big data needs better skills.
Do Big Companies have the Big Data as a Strategic Tool in their Plans? Small companies do not have Big Data so who qualify as Big Data Users?
Well for one big data will be used to protect cyber crime and also be used by cyber criminals.
Big Data tools can be used to segment the world's demographics on color, beliefs, attitudes and other attributes. Wars will be won by master minds who can use Big Data to crack genetic codes and use Big Data to fine tune their strategy to Win at any Cost.
It is important to recognize Big Data tools are potent weapons in the wrong hands and the time to curb it is now before it explodes.
Herein Lies the GAP, we need to harness Big Data for the betterment of mankind and not for destroying the world, it needs to be tamed unlike Nuclear Science which today in the wrong hands has the potential to blow up our fragile world.
Big Data is more potent then a Nuclear Bomb and therein lies the GAP and the Paradox of Big Data!
We need to Tread Carefully into Big Data !
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