It's been around long enough to not be a "buzzword" anymore. Now it's faded into the background as just something that everybody is using (even if all they use is HDFS). It's like nearly every other "once trendy, now commonplace" technology that rolls through the IT landscape. It's the "darling of the day" for a while, and then a new shiny comes along and becomes the new darling. Meanwhile the Hadoop clusters still keep chugging along doing their jobs, just like the COBOL code, MVS systems, iSeries boxes, JBoss servers, CORBA brokers, Beowulf clusters, or whatever else used to be trendy and now isn't.

Of course sometimes things fade away just because they are obviated by something clearly superior. For the map/reduce part of Hadoop that may well be Spark. But even now, in my experience, most Spark set ups are running on HDFS and using Yarn. shrug