Hi,
on a machine I've deployed a SSAS Tabular model that has two fact tables having each 200-300 millions of rows, and about 10-15 dimension tables. I've implemented some Excel workbooks, each of them queries one measure of one of the two fact tables.
Each workbook has 10-15 filters/slicers. I've tried some times to reduce the number of filter/slicer or of row expansion and I've registered a query response time from 5 to 15 seconds for a change selection for a filter/slicer. 15 seconds is a time too high for the user requirements.
The formula for the two measures has some SUMs and DIVIDEs. In order to improve the query performance I've tried to write the formula in different manners and I've created partial calculations in the underlying dwh but with negligible performance improvements. Cutting filters or slicers or row expansions is against the user requirements.
I've also captured some Profiler traces but with few indications.
I suspect that a possible issue derived from the hw features of the hosting machine. During the use of the pivot table the usage of memory is about 50-60% and the usage of CPU is 80-100%.
With the CPU-Z program I've captured the hw features:
I hope in any suggests deriving from the experiences and not from some papers, fe "Performance Tuning of Tabular Models in SQL Server 2012 Analysis Services", in order to improve the query performance from Excel connected to my tabular model.
Probably, the CPU features are not appropriate.
Many thanks