Heh... amazing. People keep coming out with articles about how far will you go to "learn something new". Your article struck a bit of a cord with me because people were actually waiting in line for something old but in a slightly different package. I don't find that to be true in the world of data. A lot of people are always looking for the next bright shinny object and will spend grand amounts of time learning that and say "it's an improvement"... without having learned what the old stuff they already have well enough to actually make that judgment. When the next shinny object comes out after that, they say "it's an improvement" and they still don't actually know if it is or not.
Someone needs to write an article about how far will you go to "learn something old that has always worked and continues to work"?
--Jeff Moden
Change is inevitable... Change for the better is not.