Select the data source you just created (CData Excel Source) and click Next.In the Solution Explorer, right-click Data Source Views and select New Data Source View.Name the data source (CData Excel Source) and click Finish.Īfter you create the data source, create the data source view.Set the impersonation method to Inherit and click Next.This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
When you configure the connection, you may also want to set the Max Rows connection property. The ExcelFile, under the Authentication section, must be set to a valid Excel File. In the Connection Manager, select CData ADO.NET Provider for Excel, enter the necessary connection properties, and click Next.Opt to create a data source based on an existing or new connection and click New.In the Solution Explorer, right-click Data Source and select New Data Source.Next, create a Data Source for Excel data in the project. Start by creating a new Analysis Service Multidimensional and Data Mining Project in Visual Studio. You will need to have an accessible SSAS instance and the ADO.NET Provider installed. This article walks through creating an Analysis Services project in Visual Studio to build and deploy a multi-dimensional model of Excel data. When paired with the CData ADO.NET Provider for Excel, you can create cubes from Excel data for deeper and faster data analysis.
It provides enterprise-grade semantic data models for business reports and client applications, such as Power BI, Excel, Reporting Services reports, and other data visualization tools. SQL Server Analysis Services (SSAS) is an analytical data engine used in decision support and business analytics.
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