Despite the big data hype that's out there many, if not most, are not even dealing with big data. Unfortunately there so much focus on the 'big' when the focus should really be on data. Matt Quinn, CTO of TIBCO, writes on dealing with all data, not just the 'big' kind.
We constantly hear people talking about Big Data as a monstrous mess. They usually describe it as a difficult problem to tackle, as though Big Data itself has a beginning and an end, or a neat solution. I’ve been to many conferences in the last few weeks, and over and over again, I’ve heard people talking about what they think of Big Data. Speaker after speaker, it became apparent that the way we talk about Big Data is our attempt to compartmentalize it.
Compartmentalizing big data is a natural thing to do. Since we first began to track things using numbers, we had to know where the information started and ended because that’s where work began and finished. When we first computerized data, we had to know where a batch was beginning and ending because the digitized world was a transactional one, with data tracking sales, costs, inventory and other finite information.
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