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"Big Data" is in the same category as "RESTful" and "Agile" for me. Which is to say that different people seem to use these phrases to mean radically different things, and when they're used without context it's usually a sign that the speaker isn't really sure what they're doing or why.
"Big data" has value only when mathematically trained statisticians or data mining or AI specialists (and there is a convergence of all 3) apply their skills to make sense of it.
All these other buzzwords involve low-level manipulaton of data ready for the experts to do their stuff.
Darn. So my writing of stuff to load and process hundreds of millions of accounting records doesn't count. Oh well. I'll stick at being an 'umble programmer.
An example of 'big data'. A client I was working with handles over 100 million financial transactions a day. Transactions that indicate who the consumer is, their fiscal health, what they're purchasing and when they're purchasing it. It's a gold mine of data which they are working out how to monetise.
"I hope Celtic realise that, if their team is good enough, they will win. If they're not good enough, they'll not win - and they can't look at anybody else, whether it is referees or any other influence." - Walter Smith
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