While the push-back against Map/Reduce & "Big Data" in general is totally valid, it's important to put it into context. In 2007-2010, when Hadoop first started to gain momentum it was very useful because disk sizes were smaller, 64 bit machines weren't ubiquitous and (perhaps most importantly) SSDs were insanely expensive for anything more than tiny amounts of data. That meant if you had more than a couple of terabyt…
It still is a valid pattern. As disks get bigger, the harder it is to move the data and the more efficient it is to move the compute to the data.