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Olap cube vs tabular model12/7/2023 ![]() But there are also still some types of models that still work better in multi-dim than in tabular. Have you compare the performance of an equivalent DAX query? It is possible that you have a general performance issue with one or more of your measures which is unrelated to the query language being used. Or if you are not interested in pretty charts and just want to view tables of data the Query Builder in DAX Studio can do this.īut the performance is severly lacking compared to the multidimensional counterpart Power BI Desktop is the main tool available at the moment which will generate DAX queries. My question is what options are there for "end user" (no code) tools to efficiently query tabular models with DAX? An MDX query may run slightly slower than an equivalent DAX query as MDX has slightly different query semantics, but regardless of the query language used all queries against tabular models are resolved against the in memory storage. This is incorrect, queries against tabular models NEVER run against on-disk storage. This appears to be running against disk rather than in-memory since it is running MDX instead of DAX? I am really hoping for a plug in or some other way for Excel to generate DAX queries instead of MDX. Power BI will come eventually but I have a large portion of users that prefer to live only in Excel. My question is what options are there for "end user" (no code) tools to efficiently query tabular models with DAX? My user base is all on Excel and I would like to build tabular models for them but the performance is severly lacking compared to the multidimensional counterpart. I know that Power BI generates DAX queries regardless of SSAS mode so I gues this isn't suprising. ![]() This appears to be running against disk rather than in-memory since it is running MDX instead of DAX? I tried the same thing from browsing the model in SSMS and it generates MDX as well. It returns the correct answers and behaves as expected but I am surprised that it is sending MDX queries to the server. The SSAS server is 2019 and Excel is 2016. Therefore, the best time to rename tables is either during the import process, or before you start to build complex relationships and calculations.I have a relatively small 57MB tabular model that I would like to query with Excel Pivot table connections. Depending on how many tables and calculations are affected, this can take some time to complete. This update happens automatically in most cases.Īny calculations that use the renamed table, or that use columns from the renamed table, must also be updated, and the data derived from those calculations must be refreshed and recalculated. Any columns that are in the table, and any relationships that use the table, must be updated to use the new name in their definitions. Whenever you change the name of a table, you change the name of the underlying table object, which may contain multiple columns or measures. , ':/\*|?&%$!+=()Īnalysis Services reserved keywords, including Multidimensional Expressions (MDX) and Data Mining Extensions (DMX) function names and operators.Įffect of renaming on existing tables, columns, and calculations ![]() The following characters (which are not valid in the names of Analysis Services objects). The following words and characters cannot be used in the name of a table or column: Naming Requirements for columns and tables ![]() In the model designer, double-click the header of the column that you want to rename, or right-click the header and select Rename Column from the context menu. However, you cannot change the name in this dialog box. You can edit other properties of a table, including the connection information and column mappings, by using the Edit Table Properties dialog box.
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