How to connect Acapela Cloud and Google Cloud BigQuery
Create a New Scenario to Connect Acapela Cloud and Google Cloud BigQuery
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 Acapela Cloud, triggered by another scenario, or executed manually (for testing purposes). In most cases, Acapela Cloud or Google Cloud BigQuery will be your first step. To do this, click "Choose an app," find Acapela Cloud or Google Cloud BigQuery, and select the appropriate trigger to start the scenario.

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

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

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Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Acapela Cloud and Google Cloud BigQuery 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 Acapela Cloud and Google Cloud BigQuery 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Acapela Cloud, Google Cloud BigQuery, 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 Acapela Cloud and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Acapela Cloud and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Acapela Cloud and Google Cloud BigQuery
Acapela Cloud + Google Cloud Text-To-Speech + Google Cloud BigQuery: When a new row is added to a Google Cloud BigQuery table, Acapela Cloud generates audio. If the generated audio contains positive sentiment as analyzed by Google Cloud Text-To-Speech, the audio file is uploaded to Acapela Cloud.
Google Cloud BigQuery + Acapela Cloud + Slack: When a new row appears in a Google Cloud BigQuery table, Acapela Cloud generates an audio explanation of the anomaly detected in the data. This audio file is then sent to a specified Slack channel.
Acapela Cloud and Google Cloud BigQuery integration alternatives
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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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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See how Latenode works
FAQ Acapela Cloud and Google Cloud BigQuery
How can I connect my Acapela Cloud account to Google Cloud BigQuery using Latenode?
To connect your Acapela Cloud account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Acapela Cloud and click on "Connect".
- Authenticate your Acapela Cloud and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Acapela Cloud voice data in BigQuery?
Yes, you can! Latenode enables seamless data transfer from Acapela Cloud to Google Cloud BigQuery for in-depth analysis and reporting. Gain valuable insights with no-code data pipelines.
What types of tasks can I perform by integrating Acapela Cloud with Google Cloud BigQuery?
Integrating Acapela Cloud with Google Cloud BigQuery allows you to perform various tasks, including:
- Storing synthesized speech audio metadata for reporting.
- Analyzing voice synthesis usage patterns over time.
- Creating dashboards to monitor Acapela Cloud performance.
- Automating data backups from Acapela Cloud.
- Combining voice data with other business intelligence data.
HowdoesLatenodehandleAcapelaCloudauthenticationcredentialssecurely?
Latenode uses encrypted storage and secure protocols to protect your Acapela Cloud authentication credentials, ensuring data privacy and compliance.
Are there any limitations to the Acapela Cloud and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers may impact workflow execution time.
- Real-time data synchronization depends on API availability.
- Complex data transformations may require custom JavaScript code.