Bubble is a no-code platform that simplifies the process of developing and launching apps and businesses. When coupled with CData Connect AI, you gain effortless no-code access to BigQuery data for streamlined app development. This article guides you through the integration process from Bubble to BigQuery using CData Connect AI.
CData Connect AI provides a pure cloud-to-cloud OData interface for BigQuery data that allows you to integrate from Bubble to BigQuery data in real time.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Connect to BigQuery from Bubble
To work with BigQuery data from Bubble, we need to connect to BigQuery from Connect AI, provide user access to
the connection, and create a Workspace for the BigQuery data.
Connect to BigQuery from Connect AI
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
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Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection
- Select "BigQuery" from the Add Connection panel
👁 Selecting a data source
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BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
👁 Authenticating with OAuth (Salesforce is shown).
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Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions.
👁 Updating permissions
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
👁 Creating a new PAT
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The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Configure BigQuery Endpoints for Bubble
After connecting to BigQuery, create a workspace for your desired table(s).
- Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).
👁 The Workspaces page.
👁 Adding a new Workspace.
- Click Add to add new assets to the Workspace.
- Select the BigQuery connection (e.g. GoogleBigQuery1) and click Next.
👁 Selecting an Asset (Salesforce is shown).
- Select the table(s) you wish to work with and click Confirm.
👁 Selecting Tables (Salesforce is shown).
- Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}
With the connection, PAT, and Workspace configured, you are ready to connect to BigQuery data from Bubble.
Build a BigQuery-Connected App
With OData endpoints added to Connect AI, you can build an app in Bubble with live access to BigQuery data.
Configure the Bubble API Connector
To start, Configure the API Connector for accessing CData Connect AI from Bubble.
- In your app, click the Plugins tab and click Add plugins
- Search for "API Connector" and click Install
👁 Installing the API Connector plugin
- After installation, click the "Add another API" button and configure the API:
- Name the API
- Set Authentication to "HTTP Basic Auth"
- Set Username to a Connect AI user (e.g. [email protected])
- Set Password to the PAT for the user
- Expand the API Call, select the "GET" command and set the URL to a Workspace endpoint you previously configured (e.g. https://cloud.cdata.com/api/odata/{workspace_name}/Orders)
👁 Configuring the API Call
- Click the "Initialize call" button to adjust data types in the response (as needed)
👁 Initializing the call
- After making any necessary changes, click "Save"
👁 Saving the data types
Configure the App UI
With the API Connector configure, you are ready to retrieve BigQuery data in your Bubble app. In this article, we request the data with a UI component that can display an Excel-like table.
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On the Plugin tab, install the "Excel-like HandsonTable"
👁 Adding the Excel-like HandsonTable plugin
- On the Design tab, add an "Excel Table" to the workspace
👁 Adding an Excel Table to the app
- In the Excel Table, in Data source, select "Get data from an external API"
- Set Type of content to "API Call value"
- Set Data source to "CData Connect AI - API Call's value" (or equivalent)
👁 Binding the Excel Table to the API Call
- Click "Preview" to ensure the data was retrieved from BigQuery.
👁 Previewing the app
At this point, you can develop applications with live access to BigQuery data without needing to know the complexities of the back-end API.
Live Access to BigQuery Data from Cloud Applications
Now you have a direct connection to live BigQuery data from Bubble. You can create more BigQuery-connected apps — all without writing any code or replicating BigQuery data.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect AI.
