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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.

Use the CData ODBC Driver for BigCommerce in SAS JMP



You can use the CData ODBC Driver to integrate BigCommerce data into the statistical analysis tools available in SAS JMP. This article shows how to use BigCommerce data in the Graph Builder and Query Builder.

You can use the CData ODBC Driver for BigCommerce to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the BigCommerce API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

The BigCommerce API supports bidirectional access. This article shows how to access BigCommerce data into a report and create data visualization. It also shows how to use SQL to query and manipulate BigCommerce data from the JMP Query Builder.

Access BigCommerce Data 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.

Import BigCommerce Data with the Query Builder

After you have created the BigCommerce DSN, you can use SQL to invoke the capabilities of the BigCommerce API. Follow the steps below to execute some supported queries in the Query Builder:

  1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
  2. Click New Connection.
  3. On the Machine Data Source tab, select the DSN. In the next step, the Select Tables for Query dialog is displayed.
  4. In the Available Tables section, select a table and click Primary.
  5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated.
  6. Click Run Query to display the data.
  7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Manipulate BigCommerce Data

You can execute data manipulation queries from JSL scripts such as the one below. To execute a script, click New Script in the toolbar. To connect, specify the DSN. You can then use the standard SQL syntax:

Open Database( "DSN=CData BigCommerce Source;", "INSERT INTO Customers (FirstName) VALUES ('Bob');");

Visualize BigCommerce Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

  1. Drag a dimension column onto the x axis. For example, FirstName.
  2. Drag a measure column onto the y axis. For example, LastName.
  3. Select a chart type. For example, a bar chart.