neděle 30. března 2014

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.

Gartner's Magic Quadrants 

Gartner provide following categories which could be interesting for Data Science:

Magic Quadrant for Advanced Analytic Platforms


Magic Quadrant for Business Intelligence and Analytics Platforms


Magic Quadrant for Data Integration Tools


Magic Quadrant for Data Warehouse Database Management Systems


Magic Quadrant for Operational Database Management Systems


What to learn from Magic Quadrants

From these above you can choose interesting free or trial software which you can learn as a part of your technological background for Data Science, for example:

What else to learn

Moreover, I would add following ones which are not (yet :-)) a part of Gartner's Magic Quadrants:

If you disagree from some reason or you have another suggestion, please share it in comments.
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