![]() A key advantage to using TOM is that you can use SQL Server Agent with your application to run deployment on a preset schedule. As an approach for solution deployment, TOM automation is the most flexible, but it also requires a programming effort. TOM, an extension of the Analysis Management Object (AMO) client library provides a programmatic interface to the complete command set for SQL Server Analysis Services, including commands that can be used for solution deployment. Using this method can overwrite certain properties in an already deployed, existing model for example, when using scripts or SQL Server Management Studio (SSMS) to modify properties. The Deploy command provides a simple and intuitive method to deploy a tabular model project from the Visual Studio authoring environment.Ĭaution: This method should not be used to deploy to production servers. Most of the deployment methods used for Analysis Services multidimensional projects can also be used to deploy tabular model projects. There are several methods you can use to deploy a tabular model project. This article describes the various methods you can use when deploying tabular model project. ![]() ![]() After authoring a tabular model project, you must deploy it to an Azure Analysis Services server resource, SQL Server Analysis Services server instance, or dataset in a Power BI Premium workspace in order for users to browse the model by using a reporting client application. ![]()
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