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Get the Report →Connect to BigQuery Data through External Services in Salesforce
Use CData Connect Cloud to securely provide OData feeds of BigQuery data to smart devices and cloud-based applications. Use the CData Connect and Salesforce Connect to create BigQuery Data objects that you can access from apps and the dashboard.
CData Connect Cloud, enables you to access BigQuery data from cloud-based applications like the Salesforce console and mobile applications like the Salesforce Mobile App. In this article, you will use CData Connect Cloud to access BigQuery data through Salesforce External Services.
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 Salesforce
To work with live BigQuery data in Salesforce Connect, we need to connect to BigQuery from Connect Cloud, provide user access to the connection, and create OData endpoints for the BigQuery data.
(Optional) Add a New Connect Cloud User
As needed, create Users to connect to BigQuery through Connect Cloud.
- Navigate to the Users page and click Invite Users
- Enter the new user's email address and click Send to invite the user
- You can review and edit users from the Users page
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Connect to BigQuery from Connect Cloud
CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "BigQuery" from the Add Connection panel
- BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
- Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions.
Create an OpenAPI File for BigQuery
After connecting to BigQuery, create a workspace and virtual dataset for your desired table(s).
- Navigate to the Virtual Datasets page and click Add to create a new Workspace (or select an existing workspace).
- Click Add to add new assets to the Workspace.
- Select the BigQuery connection (e.g. GoogleBigQuery1) and click Next.
- Select the table(s) you wish to work with and click Confirm.
- Configure the Open API options:
- Set Version to "3.0"
- Set Convert array types to strings to off
- Click Download to download the OpenAI JSON file.
With the connection configure and OpenAPI file downloaded, you are ready to connect to BigQuery data from Salesforce External Services.
Connect to BigQuery Data as an External Service
Follow the steps below to connect to the OpenAPI produced by Connect Cloud.
- Log into Salesforce and navigate to Salesforce Setup.
- Select Platform Tools -> Integrations -> External Services.
- Click Add an External Service.
- Click Select an API source from API Specification and click Next.
- In Provide Registration Details, enter the following:
- External Service Name — an identifying name for your external service.
- Description — a description of your external service.
- Service Schema — select Upload from local.
- Select a Named Credential — select the named credential you created.
- Upload the JSON file you downloaded from CData Connect.
- If the schema validation was successful, click Save & Next.
The next step is Select Operations. These operations are all the actions of the connector that are contained in the OpenAPI specification file. The actions include all the functions you need for the table, including list, get, create, update, and delete records. The actions include a description, input parameters, and output parameters.
The input parameters are appended to the URL, such as $top, $filter, and $orderby. See API Operations for a complete parameter reference. The input parameters are based on OData filtering.
Select the operations you want to include in the external service.
- Review the actions for your external service, including the input and output parameters. If you need to change input or output parameters, you need to edit the OpenAPI specification file.
- Click Finish. Your external service appears in the list of external services for Salesforce and is now available to build flows.
Simplified Access to BigQuery Data from Cloud Applications
At this point, you have a direct, cloud-to-cloud connection to live BigQuery data from Salesforce. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Salesforce, refer to our Connect Cloud page.