In this lesson, you configure deployment properties; specifying an Azure Analysis Services server to deploy to and a name for the model. You then deploy the model to that instance. After your model is deployed, users can connect to it by using a reporting client application. To learn more, see Deploy to Azure Analysis Services.
Estimated time to complete this lesson: 5 minutes
This article is part of a tabular modeling tutorial, which should be completed in order. Before performing the tasks in this lesson, you should have completed the previous lesson: Lesson 12: Analyze in Excel.
You must have Administrator permissions on the remote Analysis Services server in-order to deploy to it.
If you installed the AdventureWorksDW2014 sample database on an on-premises SQL Server, and you're deploying your model to an Azure Analysis Services server, an On-premises data gateway is required.
Deploy the model
To configure deployment properties
In Solution Explorer, right-click the AW Internet Sales project, and then click Properties.
In the AW Internet Sales Property Pages dialog box, under Deployment Server, in the Server property, enter the full server.
In the Database property, type Adventure Works Internet Sales.
In the Model Name property, type Adventure Works Internet Sales Model.
Verify your selections and then click OK.
To deploy the Adventure Works Internet Sales
In Solution Explorer, right-click the AW Internet Sales project > Build.
Right-click the AW Internet Sales project > Deploy.
When deploying to Azure Analysis Services, you may be prompted to enter your account. Enter your organizational account and password, for example email@example.com. This account must be in Admins on the server.
The Deploy dialog box appears and displays the deployment status of the metadata and each table included in the model.
When deployment successfully completes, go ahead and click Close.
This lesson describes the most common and easiest method to deploy a tabular model from SSDT. Advanced deployment options such as the Deployment Wizard or automating with XMLA and AMO provide greater flexibility, consistency, and scheduled deployments. To learn more, see Tabular model solution deployment.
Congratulations! You're finished authoring and deploying your first Analysis Services Tabular model. This tutorial has helped guide you through completing the most common tasks in creating a tabular model. Now that your Adventure Works Internet Sales model is deployed, you can use SQL Server Management Studio to manage the model; create process scripts and a backup plan. Users can also now connect to the model using a reporting client application such as Microsoft Excel or Power BI.