First, you need to create a data source, which SSAS (Analysis Services) will use to connect to the source database. **Step 1: Prepare the Environment** 1. **Install SQL Server** Begin by installing SQL Server 2012 on your machine. This will serve as the foundation for your analysis services setup. 2. **Install the Demo Database** Download the AdventureWorksDW2012 database from the official Microsoft CodePlex site: [http://msftdbprodsamples.codeplex.com/releases/view/55330](http://msftdbprodsamples.codeplex.com/releases/view/55330). This database is commonly used in experiments and training scenarios. 3. **Prepare SSDT (SQL Server Data Tools)** Starting with SQL Server 2005, Microsoft introduced BIDS (Business Intelligence Development Studio) for BI development. In later versions, such as SQL Server Denali CTP3, it was renamed to SSDT (SQL Server Developer Tools), and this name remained consistent in SQL Server 2012. SSDT is essentially an integrated version of Visual Studio tailored for BI projects. If your system doesn't already have Visual Studio 2010 installed, the SQL Server 2012 installer will automatically install a compatible version. **Step 2: Launch SSDT and Create a New Project** Once SSDT is installed, open it and select the "Business Intelligence" template to start a new project. This will allow you to build and manage your Analysis Services solution. **Step 3: Create a Data Source** A data source in SSAS functions similarly to an ODBC connection, allowing the service to access the underlying database. To create one: - Open the Data Source Wizard within SSDT. - Enter the server name and authentication details. - Choose the appropriate database, such as AdventureWorksDW2012. - Test the connection to ensure it's working correctly. If the connection is successful, you'll see a confirmation message. Then, proceed to complete the wizard to finalize the data source configuration. Throughout the process, make sure to save your work regularly and follow the on-screen instructions carefully. This step-by-step approach ensures that your data source is properly set up and ready for further analysis tasks.

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