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Build an OLAP Cube in SSAS from Sugar CRM Data

Connect to Sugar CRM data in an Analysis Services project using the Sugar CRM Data Provider and build OLAP cubes for use in analytics, reporting, and more.

SQL Server Analysis Services (SSAS) is an analytical data engine used in decision support and business analytics. 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. When paired with the CData ADO.NET Provider for Sugar CRM, you can create cubes from Sugar CRM data for deeper and faster data analysis.

This article walks through creating an Analysis Services project in Visual Studio to build and deploy a multi-dimensional model of Sugar CRM data. You will need to have an accessible SSAS instance and the ADO.NET Provider installed.

Creating a Data Source for Sugar CRM

Start by creating a new Analysis Service Multidimensional and Data Mining Project in Visual Studio. Next, create a Data Source for Sugar CRM data in the project.

  1. In the Solution Explorer, right-click Data Source and select New Data Source.
  2. Opt to create a data source based on an existing or new connection and click New.
  3. In the Connection Manager, select CData ADO.NET Provider for Sugar CRM, enter the necessary connection properties, and click Next.

    The User and Password properties, under the Authentication section, must be set to valid SugarCRM user credentials. This will use the default OAuth token created to allow client logins. OAuthClientId and OAuthClientSecret are required if you do not wish to use the default OAuth token.

    You can generate a new OAuth consumer key and consumer secret in Admin -> OAuth Keys. Set the OAuthClientId to the OAuth consumer key. Set the OAuthClientSecret to the consumer secret.

    Additionally, specify the URL to the SugarCRM account.

    Note that retrieving SugarCRM metadata can be expensive. It is advised that you store the metadata locally as described in the "Caching Metadata" chapter of the help documentation.

    When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

  4. Set the impersonation method to Inherit and click Next.
  5. Name the data source (CData Sugar CRM Source) and click Finish.

Creating a Data Source View

After you create the data source, create the data source view.

  1. In the Solution Explorer, right-click Data Source Views and select New Data Source View.
  2. Select the data source you just created (CData Sugar CRM Source) and click Next.
  3. Choose a foreign key match pattern that matches your underlying data source and click Next.
  4. Select Sugar CRM tables to add to the view and click Next.
  5. Name the view and click Finish

Based on the foreign key match scheme, relationships in the underlying data will be automatically detected. You can view (and edit) these relationships by double clicking Data Source View.

Note that adding a secondary data source to the Data Source View is not supported. When working with multiple data sources, SSAS requires both sources to support remote queries via OpenRowset which is unavailable in the ADO.NET Provider.

Creating a Cube for Sugar CRM

The last step before you can process the project and deploy Sugar CRM data to SSAS is creating the cubes.

  1. In the Solution Explorer, right-click Cubes and select New Cube
  2. Select "Use existing tables" and click Next.
  3. Select the tables that will be used for measure group tables and click Next.
  4. Select the measures you want to include in the cube and click Next.
  5. Select the dimensions to be created, based on the available tables, and click Next.
  6. Review all of your selections and click Finish.

Process the Project

With the data source, data source view, and cube created, you are ready to deploy the cube to SSAS. To configure the target server and database, right-click the project and select properties. Navigate to deployment and configure the Server and Database properties in the Target section.

After configuring the target server and database, right-click the project and select Process. You may need to build and deploy the project as a part of this step. Once the project is built and deployed, click Run in the Process Database wizard.

Now you have an OLAP cube for Sugar CRM data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData ADO.NET Provider for Sugar CRM.