Create Datasets from BigCommerce in Domo Workbench and Build Visualizations of BigCommerce Data in Domo

Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for BigCommerce links Domo Workbench to operational BigCommerce data. You can build datasets from BigCommerce data using standard SQL queries in Workbench and then create real-time visualizations of BigCommerce data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live BigCommerce data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to BigCommerce, the driver pushes supported SQL operations, like filters and aggregations, directly to BigCommerce and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze BigCommerce data using native Domo data types.

Connect to BigCommerce as an ODBC Data Source

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.

When you configure the DSN, 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.

After creating a DSN, you will need to create a dataset for BigCommerce in Domo Workbench using the BigCommerce DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for BigCommerce Data

You can follow the steps below to build a dataset based on a table in BigCommerce in Domo Workbench using the CData ODBC Driver for BigCommerce.

1. Open Domo Workbench and, if you have not already, add your Domo service server to Workbench. In the Accounts submenu, click Add New, type in the server address (i.e., domain.domo.com) and click through the wizard to authenticate. 👁 Connecting to the Domo Service.
   
2. In the DataSet Jobs submenu, click Add New.
3. Name the dataset job (i.e., ODBC BigCommerce Customers), select ODBC Connection Provider as the transport method, and click through the wizard. 👁 Configuring the DataSet Job.
   
4. In the newly created DataSet Job, navigate to Source and click to configure the settings.
5. Select System DSN for the Connection Type.
6. Select the previously configured DSN (CData BigCommerce Sys) for the System DSN.
7. Click to validate the configuration. 👁 Configuring the Source Settings.
   
8. Below the settings, set the Query to a SQL query:

   SELECT * FROM Customers

   NOTE: By connecting to BigCommerce data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know BigCommerce-specific APIs or protocols.
9. Click preview. 👁 Querying BigCommerce Data.
   
10. Check over the generated schema, add any transformations, then save and run the dataset job. 👁 Save and Run the Configured DataSet Job (Salesforce is shown).
    

With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on BigCommerce data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the BigCommerce data in the Domo service.

1. Navigate to the Data Center. 👁 Accessing the Data Center (Salesforce is shown).
   
2. In the data warehouse, select the ODBC data source and drill down to our new dataset. 👁 Selecting the BigCommerce Dataset (Salesforce is shown).
   
3. With the dataset selected, choose to create a visualization.
4. In the new card:
   • Drag a Dimension to the X Value.
   • Drag a Measure to the Y Value.
   • Choose a Visualization.
   👁 Visualizing BigCommerce Data in Domo (Salesforce is shown).
   

With the CData ODBC Driver for BigCommerce, you can build custom datasets based on BigCommerce data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.