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Notes on Analysis Services Performance and Parallelism

As a part of a semantic model assessment, I got to experiment with different configurations of Azure Analysis Services. In this case, the largest fact table has almost 2 billion rows so it’s a good size model. I was particularly interested the correlation between a higher performance tier and query performance. One thing that I like about PaaS is that it’s easy to change and experiment with different configurations. The thing that I don’t like is that I can’t peek under the hood. This is probably done on purpose to keep people like me out, just like these green nets surrounding construction zones. So, I don’t know what hardware AAS is running on and how it’s configured. And I failed to get clarification from Microsoft. So, I might be out of line here, but I thought my findings are worth sharing albeit not officially vetted.

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Tags: performance, tabular, azure

 

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