How to connect Google Cloud BigQuery and Acapela Cloud
Create a New Scenario to Connect Google Cloud BigQuery and Acapela Cloud
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Acapela Cloud will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Acapela Cloud, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Acapela Cloud Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Acapela Cloud from the list of available apps, and choose the action you need from the list of nodes within Acapela Cloud.

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Authenticate Acapela Cloud
Now, click the Acapela Cloud node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Acapela Cloud settings. Authentication allows you to use Acapela Cloud through Latenode.
Configure the Google Cloud BigQuery and Acapela Cloud Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Cloud BigQuery and Acapela Cloud Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Acapela Cloud, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Cloud BigQuery and Acapela Cloud integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Acapela Cloud (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and Acapela Cloud
Slack + Acapela Cloud: When a new message is posted to a Slack channel, the text of the message is converted to speech using Acapela Cloud and a file containing the spoken version of the message is generated.
Slack + Google Cloud Text-To-Speech: When a new message is posted to a Slack channel, synthesize the text of the message into speech using Google Cloud Text-To-Speech.
Google Cloud BigQuery and Acapela Cloud integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Acapela Cloud
Need realistic voice synthesis? Integrate Acapela Cloud in Latenode to automate voice responses in your workflows. Generate audio from text for IVR systems, content creation, or accessibility features. Use Latenode's visual editor and JS node for full control over text prompts and delivery, scaling voice automation affordably.
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See how Latenode works
FAQ Google Cloud BigQuery and Acapela Cloud
How can I connect my Google Cloud BigQuery account to Acapela Cloud using Latenode?
To connect your Google Cloud BigQuery account to Acapela Cloud on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Acapela Cloud accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate audio from BigQuery data using Acapela Cloud?
Yes, you can. Latenode lets you automate this process with visual workflows, transforming data into speech for alerts or reports. Scale your audio generation effortlessly.
What types of tasks can I perform by integrating Google Cloud BigQuery with Acapela Cloud?
Integrating Google Cloud BigQuery with Acapela Cloud allows you to perform various tasks, including:
- Generate audio summaries of key performance indicators from BigQuery datasets.
- Create automated voice alerts based on real-time data changes in BigQuery.
- Produce personalized audio reports using data stored in BigQuery.
- Dynamically create voiceovers for data visualizations based on BigQuery data.
- Trigger audio notifications based on custom data thresholds in BigQuery.
What BigQuery data types work best with Acapela Cloud in Latenode?
Text-based data works best. Latenode's data transformation tools can convert other formats into readable strings for Acapela Cloud.
Are there any limitations to the Google Cloud BigQuery and Acapela Cloud integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets may require optimization to prevent timeout errors.
- Acapela Cloud's character limits apply to the generated audio.
- Custom audio profiles require separate Acapela Cloud configuration.