Create SSAS Tabular Models from BigCommerce Data



How to build a SQL Server Analysis Service Tabular Model from BigCommerce data using CData drivers.

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 BigCommerce, you can create a tabular model from BigCommerce data for deeper and faster data analysis.

Create a Connection to BigCommerce 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.

BigCommerce authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Big Commerce developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL. These three parameters will be set as connection properties to your driver.

Additionally, in order to connect to your BigCommerce Store, you will need your StoreId. To find your Store Id please follow these steps:

  1. Log in to your BigCommerce account.
  2. From the Home Page, select Advanced Settings > API Accounts.
  3. Click Create API Account.
  4. A text box named API Path will appear on your screen.
  5. Inside you can see a URL of the following structure: https://api.bigcommerce.com/stores/{Store Id}/v3.
  6. As demonstrated above, your Store Id will be between the 'stores/' and '/v3' path paramters.
  7. Once you have retrieved your Store Id you can either click Cancel or proceed in creating an API Account in case you do not have one already.

Creating a Data Source for BigCommerce

Start by creating a new Analysis Services Tabular Project in Visual Studio. Next create a Data Source for BigCommerce 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"
  3. Select the DSN you previously configured
  4. Choose "Default or Custom" as the authentication option and click "Connect"

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
  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

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

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."

After configuring the deployment server, open the "Build" menu and click "Deploy Solution." You now have a tabular model for BigCommerce 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 BigCommerce.

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BigCommerce Icon BigCommerce ODBC Driver

The BigCommerce ODBC Driver is a powerful tool that allows you to connect with live data from BigCommerce, directly from any applications that support ODBC connectivity.

Access BigCommerce data like you would a database - read, write, and update BigCommerce Customers, Products, Orders, Transactions, etc. through a standard ODBC Driver interface.