You will set some of these properties later when you are ready to deploy your model. These are the advanced project properties. The AW Internet Sales Property Pages dialog box appears. In Solution Explorer, right-click AW Internet Sales (project), and then click Properties. You can change these settings later if necessary, but for now, just leave these properties as they are. Data Backup, Workspace Retention, and Workspace Server properties specify how and where the workspace database (your model authoring database) is backed up, retained in-memory, and built. When you create a new model, certain model properties are set automatically according to the Data Modeling settings that can be specified in the Tools > Options dialog box. For this tutorial, you will author and deploy your model in In-Memory mode. This property specifies whether or not the model is deployed in In-Memory mode (Off) or DirectQuery mode (On). In the Properties window, you'll see the model properties, most important of which is the DirectQuery Mode property. The Model.bim file contains all of the metadata for your model project. If you don't see the designer window to the left (the empty window with the Model.bim tab), in Solution Explorer, under AW Internet Sales Project, double-click the Model.bim file. As you step through this tutorial, you'll use the Tabular Model Explorer to navigate different objects in your model project.Ĭlick the Solution Explorer tab. You can right-click an object folder to perform actions, similar to the menu bar. Since you haven't yet imported data, the folders will be empty. On the right side, in Tabular Model Explorer, you'll see a tree view of the objects in your model. Now that you've created a new tabular model project, let's take a moment to explore the tabular model authoring environment in SSDT.Īfter your project is created, it opens in SSDT. Understanding the SSDT tabular model authoring environment Integrated workspace is not supported for earlier compatibility levels. Selecting an earlier compatibility level is only recommended if you intend on deploying your completed tabular model to a different Analysis Services instance running an earlier version of SQL Server. However, to complete lesson 13: Deploy, you'll need a SQL Server 2017 or Azure server to deploy to. If you're using the latest version of SSDT, you can also choose SQL Server 2017 (1400). To get the latest version, see Install SQL Server Data tools. If you don't see SQL Server 2016 RTM (1200) in the Compatibility level listbox, you're not using the latest version of SQL Server Data Tools. In Compatibility level, verify SQL Server 2016 (1200) is selected, and then click OK. Integrated workspace means SSDT will use a built-in instance, eliminating the need to install a separate Analysis Services server instance just for model authoring. The workspace will host a tabular model database with the same name as the project during model authoring. In the Tabular model designer dialog box, select Integrated workspace. In Name, type AW Internet Sales, and then specify a location for the project files.īy default, Solution Name will be the same as the project name however, you can type a different solution name. In the New Project dialog box, expand Installed > Business Intelligence > Analysis Services, and then click Analysis Services Tabular Project. In SSDT, on the File menu, click New > Project. Create a new tabular model project To create a new tabular model project To learn more, see Tabular Modeling (Adventure Works Tutorial). To complete this lesson, you must have the AdventureWorksDW sample database installed on a SQL Server instance. This topic is the first lesson in a tabular model authoring tutorial. This lesson also gives you a brief introduction to the tabular model authoring environment in SSDT.Įstimated time to complete this lesson: 10 minutes Prerequisites Once your new project is created, you can begin adding data by using the Table Import Wizard. In this lesson, you will create a new, blank tabular model project in. Lesson 1: Create a New Tabular Model Project
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