The Key columns can be multi-selected by using the Control key while clicking on each column. The easiest way to do this is in the Diagram view. The surrogate key columns in each dimension table needs to be hidden from client view. The dimension tables are Customer, Date, Product, Subcategory and Category. Once we have the tables in the model, like Figure 4, we can start to use tabular features to enhance the client tool view. Manually adding these relationships can be done in the Diagram view. The big issue here is the Tabular Model cannot see the Foreign Key(s) from the underlying table of the view. The last option is to create a view in the database and select it as the Source Data. Figure 3 shows the edit screen with a pointer to the property Source Data of a table.įigure 3: Editing the T-SQL from A Source Table You can always edit this graphically or with the text from the Model editor. Instead of a SELECT *, the T-SQL now only selects the columns needed. The will change the T-SQL behind the initial import and future processing of new data. Internet Sales is where the measures would be created.įigure 2: Filtering Columns from FactInternetSales (Internet Sales) Figure 2 shows removing some of the columns from the FactInternetSales table. This is the Friendly Name property of a table in the Tabular Model. You can also rename the table from DimCustomer to Customer on this screen. The next option would be to click the Preview & Filter button in the Table Import Wizard to only select reportable columns…for now. The problem with this method is you get all the columns from all the tables selected. The easy way is to just select the tables like Figure 1. The first step in importing tables and data is selecting a table, view or T-SQL statement to bring data into a Tabular Model. The same holds true for tabular as multidimensional, a data mart works best for final table structures. But before jumping into DAX, a Tabular Model has to be constructed from the same dimension and fact tables used for cubes. It is not until you get into the DAX ( Data Analysis e Xpression language) do you really start to see the significance of the new modeling tool for Business Intelligence. Coming from the cube world, this seems a little off. The tabular model of SQL Server Analysis Services shifts focus from dimensions and cubes to tables, relationships, and measures. This is enforced by speed obtained from in-memory technology and simplification of the interface for the masses. Even though the descriptive names are changing, the tabular model still accomplishes the centralized business rules multidimensional cubes gave the business intelligence world. In this article, a demonstration of the tabular model will try to related multidimensional cube design to the path forward Microsoft is giving used s with new versions of Analysis Services.
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