Another reason why Data Management and Analysts cannot lead separate lives
I found this article interesting in that it points out why the bridge between the data side of the house and the analytical side must be well established – if the data team implements a design that does not support analytics, it has material impacts. I know this is blindingly obvious, but ….
I have recently been in a number of discussions where the attitude was we are going to build the data warehouse using best practices and years of experience, and it really does not matter what you are going to do with the data. I know it crazy, but… you know what I am talking about – we see it all the time.
The article itself tests performance on a columnar versus relational approach to persisting data, and has some surprising results – 4,100% improvement! I would be interested in other studies that have looked at the difference between different data architectures when performing analytical tasks.
analyticaltern 
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