Enrico Bertini has another great article on an increasingly big (pun totally intended) problem about “data bloat”.  As data sizes continue to grow, we find that Pixel counts don’t.  How do you deal with “big data”?  How do you know when your data is “too big”?

When is data too much?

It’s not easy to define when data is too much. Do it even make sense to say that data is too much? In statistical data analysis there are somewhat clear ways to state when data is too few, but I am not sure whether there are ways to say when it is too much. Intuitively the more you get, the better, right? But in visualization this is a whole different story. The more we have the harder the task.

via How do you visualize too much data? — Fell in Love with Data.