Yes, I know, I have earlier gushed about the wonders of Big Data. But that was then, and now is now, and I hear my inner contrarian alarm sounding.
But what about Big Data the scientific field? What is it? Where's the beef?
What's really new, for example, statistically? Of course Big Data has stimulated much fine new work in dimensionality reduction, shrinkage, selection, sparsity, regularization, etc. But are those not traditional areas? In what sense is the scientific Big Data whole truly greater than the sum of its earlier-existing parts?
But primarily: Why all the endless optimistic Big Data buzz about endless Big Data opportunities? What about pitfalls? Isn't Big Data in many respects just a hassle? Aren't we still searching for needles in a haystack, except that the haystack is now growing much more quickly than the needle-discovering technology is improving? Why is that cause for celebration?