Gartner's Magic Quadrants as a source for what technologies to study

As a Data Scientists you need to learn a lot. Even if you know a lot you need to learn more. New things and don't stop learning, because you wanna be top. And people on top are at least know about trends if not following them and create them (that's the best choice :-)).

So, the idea is simple, follow up a Gartner's Magic Quadrants which shows all necessary players from specific field and look what is necessary to know, what should be fine and what is optional or even could be omitted. Also we should not forget to see who is novice player and who has been rejected.

Update 4/22/2014: Included pictures of all Gartner's Magic Quadrants mentioned in this post.

Course: M101P - MongoDB for Developers

M101P: MongoDB for Developers in Python language course was really good experience with hands on practice and many programming staff around. I need to thanks to Andrew Erlichson for his really big effort which he includes into this course at MongoDB University. I've learned a lot and I started to like NoSQL databases at least this one.