Integrate Google Cloud Storage Data into Power Automate Desktop using CData Connect
CData Connect enables you to access live Google Cloud Storage data in workflow automation tools like Power Automate. This article shows how to integrate Google Cloud Storage data into a simple workflow, saving Google Cloud Storage data into a CSV file.
CData Connect provides a live interface for Google Cloud Storage, allowing you to integrate with live Google Cloud Storage data in Power Automate — without replicating the data. Connect uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Google Cloud Storage, leveraging server-side processing to quickly return Google Cloud Storage data.
Configure Google Cloud Storage Connectivity for Power Automate
Connectivity to Google Cloud Storage from Power Automate is made possible through CData Connect AI. To work with Google Cloud Storage data from Power Automate, we start by creating and configuring a Google Cloud Storage connection.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Google Cloud Storage" from the Add Connection panel
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Enter the necessary authentication properties to connect to Google Cloud Storage.
Authenticate with a User Account
You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.
When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes
Authenticate with a Service Account
Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.
You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:
- InitiateOAuth: Set this to GETANDREFRESH.
- OAuthJWTCertType: Set this to "PFXFILE".
- OAuthJWTCert: Set this to the path to the .p12 file you generated.
- OAuthJWTCertPassword: Set this to the password of the .p12 file.
- OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
- OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
- OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
- ProjectId: Set this to the Id of the project you want to connect to.
The OAuth flow for a service account then completes.
- Click Save & Test
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Navigate to the Permissions tab in the Add Google Cloud Storage Connection page and update the User-based 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.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- 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.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Google Cloud Storage data from Power Automate Desktop.
Integrate Google Cloud Storage Data into Power Automate Workflows
After configuring CData Connect with Google Cloud Storage, you are ready to integrate Google Cloud Storage data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.
In the flow editor, you can add the options to connect to Google Cloud Storage, query Google Cloud Storage using SQL, and write the query results to a CSV document.
Add an Open SQL Connection Action
Add an "Open SQL connection" action (Action -> Database) and click the option to build the Connection string. In the Data Link Properties wizard:
- On the Provider tab: select Microsoft OLE DB Driver for SQL Server
- On the Connection tab:
- Select or enter a server name: set to tds.cdata.com,14333
- Enter information to lag onto the server: select "Use a specific username and password"
- Set User name to your CData Connect AI user name (e.g. [email protected])
- Set Password to your PAT
- Select the database: use the database configured above (e.g. GoogleCloudStorage1)
- Click "Test Connection" to ensure the connection is configured properly
- Click "OK"
After building the connection string in the Data Link Properties wizard, save the action.
Add an Execute SQL Statement Action
Add an "Execute SQL statement" action (Action -> Database) and configure the properties.
- Get connection by: SQL connection variable
- SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
- SQL statement: SELECT * FROM Buckets
After configuring the properties, save the action.
Add a Write to CSV File Action
Add a "Write to CSV file" action (Action -> File) and configure the properties.
- Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
- File path: set to a file on disk
- Configure Advanced settings as needed.
After configuring the properties, save the action.
Add a Close SQL Connection Action
Add a "Close SQL connection" action (Action -> Database) and configure the properties.
- SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
After configuring the properties, save the action.
Save & Run the Flow
Once you have configured all the options for the flow, click the disk icon to save the flow. Click the play icon to run the flow.
Now you have a workflow to save Google Cloud Storage data into a CSV file.
With CData Connect AI, you get live connectivity to Google Cloud Storage data within your Microsoft Power Automate workflows.
SQL Access to Google Cloud Storage Data from Cloud Applications
Now you have a direct connection to live Google Cloud Storage data from Power Automate tasks. You can create more connections and workflows to drive business — all without replicating Google Cloud Storage data.
To get SQL data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.
Related Power Automate Articles
This article explains how to use CData Connect AI with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):