Create SSAS Tabular Models from LinkedIn Data

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 ODBC Driver for LinkedIn, you can create a tabular model from LinkedIn data for deeper and faster data analysis.

Create a Connection to LinkedIn Data

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

LinkedIn uses the OAuth 2 authentication standard. Obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.

Creating a Data Source for LinkedIn

Start by creating a new Analysis Services Tabular Project in Visual Studio. Ensure that you select a Compatibility Level of 1400 or higher in the Tabular model designer dialog. Next create a Data Source for LinkedIn in the project.

1. In the Tabular Model Explorer, right-click Data Sources and select "New Data Source"
2. Select "ODBC" from the Other tab and click "Connect" 👁 Selecting ODBC as the connector
   
3. Select the DSN you previously configured 👁 Selecting the DSN (Salesforce is shown)
   
4. Choose "Default or Custom" as the authentication option and click "Connect" 👁 Connecting to the DSN (Salesforce is shown)
   

Add Tables & Relationships

After creating the data source you are ready to import tables and define the relationships between the tables.

1. Right-click the new data source, click "Import New Tables" and select the tables to import 👁 Importing the tables (Salesforce is shown)
   
2. After importing the tables, right-click "Relationships" and click "Create Relationships"
3. Select table(s), and choose the foreign keys, cardinality, and filter direction 👁 Configuring relationships between tables (Salesforce is shown)
   

Create Measures

After importing the tables and defining the relationships, you are ready to create measures.

1. Select the column in the table for which you wish to create a measure
2. In the Extensions menu -> click "Columns" -> "AutoSum" and select your aggregation method 👁 Creating measures (Salesforce is shown)
   

Deploy the Model

Once you create measures, you are ready to deploy the model. Configure the target server and database by right-clicking the project found in the Solution Explorer and selecting "Properties." Configure the "Deployment Server" properties and click "OK."

👁 Configuring the deployment database

After configuring the deployment server, open the "Build" menu and click "Deploy Solution." You now have a tabular model for LinkedIn data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData ODBC Driver for LinkedIn.