Create BigCommerce Dashboards in Bold BI

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CData Connect



Use CData Connect Cloud to create a virtual MySQL Database for BigCommerce data to build custom dashboards in Bold BI.

Bold BI allows you to create, share, and collaborate on interactive BI dashboards. When paired with CData Connect Cloud, 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 Bold BI.

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

Create a Virtual MySQL Database for BigCommerce Data

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

  1. Login to Connect Cloud 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 Bold BI.

Visualize Live BigCommerce Data in Bold BI

The steps below outline connecting to CData Connect Cloud from Bold BI to create a new BigCommerce data source and build a simple visualization from the data.

  1. Log into your Bold BI instance, click the data sources tab, create a new data source, and choose the MySQL connector.
  2. Choose the basic configuration and set the connection properties:
    • Name: Name your connection
    • Server name: Your Connect Cloud instance (myinstance.cdatacloud.net)
    • Port: 3306
    • Username: Your Connect Cloud username
    • Password: Your Connect Cloud password
    • Mode: Choose Live to query BigCommerce on-demand or choose Extract to load the data into Bold BI
    • Database: Choose the database you created from the drop-down menu (bigcommercedb)
  3. Click Connect
  4. Select the table to visualize and drag it onto the workspace.
  5. Select a visualization style and add it to the report.
  6. Click the gear icon for the visualization to configure the visualization properties and assign columns to the visualization.

SQL Access to BigCommerce Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live BigCommerce data from your Bold BI 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 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect page.