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For me, "big" data is increasing the linkage between your data. It's not simply more data, but much richer, less formal data relationships. It's taking your sal
by jwilliams 13y ago
For me, "big" data is increasing the linkage between your data. It's not simply more data, but much richer, less formal data relationships. It's taking your sales data and linking it to your website clicks, linking that to the weather (or whatever). Or you take something traditionally static and add a temporal dimension.
This kind of deep linking you can't measure with straight megabytes. A few gig doesn't seem that large, but if it's a complex graph with a complex hypothesis - then, sure - that's big.
- JesseObrien 13y agoI think that's the entire point behind this article. What you're talking about and what "big data" actually exists as, are two different things. What you're talking about is data refinement. As you said, linking things together and trying to look at your data in different contexts and dimensions than what you do normally. This can be done on a nearly any data set small or large. Big data gets into the realm of literally having so much data to process that data refinement becomes nearly impossible without a significant combination of thinkers, doers, machinery and money.
- PeterisP 13y agoWell, that's the whole point - "A few gig doesn't seem that large, but if it's a complex graph with a complex hypothesis"... then it's still not 'big data'. It's maybe smart data, maybe detailed data, but definitely not big data - that problem will have completely opposite needs and techniques than big data analysis, and should not be mischaracterised as such.