![]() Negotiating co-development of any product by several different teams is difficult within any organization, particularly one as large as Microsoft. The Power BI product team is entirely focused on developing one product by a development team under unified leadership, with a focused set of objectives. Without getting into all the reasons that it has been difficult for Microsoft to develop and maintain a rock-solid tabular model design add-in for Visual Studio, contrast that effort with the evolution of the Power BI product. However, history has demonstrated that the notion of stitching together several different products and expecting them all to just work together seamlessly is just untenable. It’s a great product for developing software and a variety of business and data solutions. I want to be clear – I love Visual Studio. So, yes, I am not absolutely done using Visual Studio for managing projects other than SSAS, and perhaps for code check-in …I’ll finish this part of the story in a bit. Now, before anyone has a chance to comment and say “Paul, what the are thinking? Visual Studio is an essential tool and there are certain things that you can’t do with out it!”, I agree and will continue to use SSDT for a few key features. However, at some point I the life of a project it just makes more sense to transition the data model to an enterprise-scale effort. It’s faster, more convenient and just easier than SSDT. I prefer to use Desktop to perform model design. It’s a joy to use compared with my early experiences using SSDT for tabular model design. Not only does Power BI Desktop include a lot of great features, it is stable and streamlined. The Tabular designer was fragile to put it mildly.Įnter Power BI… Initially intended for self-service data model and report design, Power BI Desktop has quickly grown into a robust and full-featured BI design tool. In 2012 when Microsoft began the transition from on-disk cubes to in-memory SSAS Tabular models, I used SQL Server Data Tools (SSDT) to create tabular models. ![]() Back in 2005, I used the Business Intelligence Development Studio (BIDS) Visual Studio add-in for SSIS, SSRS and SSAS projects to develop BI solutions with multidimensional cubes. Use the SSAS Connection manager you created as the connection, Direct Input as the SourceType, and enter the script generated in SSMS as the SourceDirect statement.For several years, Visual Studio has been my go-to tool for designing semantic data models used for Business Intelligent reporting. Inside the Foreach loop add an Analysis Services Execute DDL Task.On the Variable Mappings pane, place the string variable (DeployServerName) at Index 0. Use the Foreach ADO Enumerator Enumerator type and select the object variable (ServerList) as the ADO Object Source Variable. Next create a Foreach Loop after the Execute SQL Task and connect this to it.Then on the Result Set pane, enter 0 for the Result Name and the object variable created earlier (ServerList) for the Variable Name field. On the Execute SQL Task, set the ResultSet property to Full Result Set.You can also add the destination server names individually with UNIONs selecting plain text. If they're stored in a master/lookup table just select the column holding the server name as the SQL statement. This is where you will get the server names to deploy to. Add an Execute SQL Task in the data flow.This will allow the server name to change to multiple servers for deployment. On the window that comes up, choose the ServerName property and set the DeployServerName variable as the expression. On the SSAS Connection Manager, go to the properties window (press F4), then select the Expressions ellipsis. Also create an object variable, which can be called ServerList. Create a String variable and leave in blank.This can be set to a server where this Tabular database currently exists. In the package create an Analysis Server Connection Manager. Note that this will not include the password for security purposes and this will need to be handled accordingly. When connected to SSAS in SSMS, right-click the model, select Script > Script Database As > Create or Replace To > then choose where to output the Script.If the model is deployed to a server for the first time ensure that it's processed before it's queried or used by any client tools, and make sure the processing of changed objects is handled accordingly as well. This same method can also be used for cube processing, with the create DDL replaced with a processing script. What this will do is take a list a server names that you supply, iterate through them, and execute the DDL for the updated Tabular model to each one. If you've worked with SSIS this can be used to deploy across multiple sites.
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