Specifically, the option for using the credentials of the current user is not supported for processing.ĭetermine the service account. Although other impersonation options are available, not all of them are suitable for processing operations. To use this default setting, you must ensure that the service account under which Analysis Services runs has data reader permissions on the AdventureWorksDW database.įor learning purposes, it is recommended that you use the default service account impersonation option and grant data reader permissions to the service account in SQL Server. By default, the impersonation settings specify the Analysis Services service account for accessing the data. The sample projects use data source impersonation settings that specify the security context under which data is imported or processed. Start SQL Server Management Studio and connect to the Database Engine instance. To install the database, do the following:ĭownload an AdventureWorksDW2019 database backup from GitHub.Ĭopy the backup file to the backup directory of the local SQL Server Database Engine instance. In-general, you should use the sample database version matching your database engine version. You can use this sample database with SQL Server 2019 and later. The tutorial assumes you are using AdventureWorksDW2019, however, earlier versions do work. It provides the original data used by the Analysis Services databases and projects that you build and deploy throughout the tutorial. For the purposes of this tutorial, you use the following relational database as your data source.ĪdventureWorksDW2019 - This is a relational data warehouse that runs on a Database Engine instance. Step 3: Install databasesĪn Analysis Services multidimensional model uses transactional data that you import from a relational database management system. The query designer returns the same data, except the data is presented as a flat rowset. Using Excel to browse data is recommended because you can quickly build a pivot report that lets you interact with the data.Īlternatively, you can browse data using the built-in MDX query designer that is built into SQL Server Data Tools. Installing Excel enables the Analyze in Excel feature that starts Excel using a PivotTable field list that is connected to the cube you are building. Optionally, consider installing Excel to browse your multidimensional data as you proceed through the tutorial. ![]() SQL Server Management Studio (SSMS) is downloaded and installed separately from other SQL Server features. ![]() To learn more about installing supported Visual Studio versions and Analysis Services projects extension, see Analysis Services tools - Create and deploy models. The designers and project templates used to create models are included in the Analysis Services projects extension for Visual Studio. Visual Studio is downloaded and installed separately from other SQL Server features. Step 2: Download and install developer and management tools You can override the default mode by choosing Multidimensional Server Mode in the server configuration page of the Installation Wizard. Multidimensional models are not supported in Azure Analysis Services.īy default, Analysis Services 2016 and later is installed as a tabular instance. To install these features, run SQL Server Setup and select them from the Feature Selection page.Īnalysis Services is available in these editions only: Evaluation, Enterprise, Business Intelligence, Standard. ![]() You can install all of the features on a single computer. The lessons in this tutorial assume that you have the following software installed. Use the instructions and links provided in this article to install the data and project files used in the Analysis Services tutorials.
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