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Create Reports from BigCommerce Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for BigCommerce data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with the CData Cloud Hub, you get instant, cloud-to-cloud access to BigCommerce data for visualizations, dashboards, and more. This article shows how to create a virtual database for BigCommerce and build reports from BigCommerce data in Google Data Studio.

The CData Cloud Hub provides a pure MySQL, cloud-to-cloud interface for BigCommerce, allowing you to easily build reports from live BigCommerce data in Google Data Studio — without replicating the data to a natively supported database. As you build visualizations, Google Data Studio generates SQL queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported SQL operations (filters, JOINs, etc) directly to BigCommerce, leveraging server-side processing to quickly return BigCommerce data.

Create a Virtual MySQL Database for BigCommerce Data

CData Cloud Hub uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

  1. Login to Cloud Hub and click Databases.
  2. Select "BigCommerce" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to BigCommerce.

    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.
  4. Click Test Database.
  5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to BigCommerce data from any MySQL client.

Visualize Live BigCommerce Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new BigCommerce data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source and choose MySQL.
  2. Choose the basic configuration and set the connection properties:
    • Host name or IP: myinstance.cdatacloud.net
    • Port: 3306
    • Database: bigcommercedb
    • Username: your Cloud Hub username
    • Password: your Cloud Hub password
    • Click Enable SSL, then upload the certificates
  3. Click Authenticate
  4. Select the table to visualize or enter a custom query and click Connect.
    NOTE: JOINs are not supported in the user interface, but they are supported as custom queries.
  5. If needed, modify columns, click Create Report and add the data source to the report.
  6. Select a visualization style and add it to the report.
  7. Select Dimensions and Measures to customize your visualization.

SQL Access to BigCommerce Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live BigCommerce data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating BigCommerce data.

To get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Cloud Hub.