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

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

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

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Authenticate Twist
Now, click the Twist node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Twist settings. Authentication allows you to use Twist through Latenode.
Configure the Google Cloud BigQuery (REST) and Twist 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 (REST) and Twist 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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Save and Activate the Scenario
After configuring Google Cloud BigQuery (REST), Twist, 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 (REST) and Twist integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Twist (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 (REST) and Twist
Google Cloud BigQuery (REST) + Twist + Google Sheets: Analyze data from BigQuery using a query, post the key findings as a message in a Twist thread, and then save specific metrics from the query results into a Google Sheet for tracking trends.
Twist + Google Cloud BigQuery (REST) + Jira: When a new message is posted in a Twist conversation, extract relevant information and log it as a new row in a BigQuery dataset. If the message indicates a recurring issue, create a Jira ticket for the engineering team.
Google Cloud BigQuery (REST) and Twist integration alternatives
About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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About Twist
Use Twist in Latenode to centralize team communication data. Automatically archive messages, analyze sentiment, or trigger actions based on channel activity. Integrate Twist threads with other apps for reporting or task management. Automate insights and routing without manual work.
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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Twist
How can I connect my Google Cloud BigQuery (REST) account to Twist using Latenode?
To connect your Google Cloud BigQuery (REST) account to Twist on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Twist accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I post BigQuery data insights to Twist channels?
Yes, you can! Latenode's visual editor makes it simple to post data insights from Google Cloud BigQuery (REST) to Twist, keeping your team informed automatically.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Twist?
Integrating Google Cloud BigQuery (REST) with Twist allows you to perform various tasks, including:
- Post daily sales reports from BigQuery to a Twist channel.
- Send alerts to Twist when specific metrics in BigQuery change.
- Share customer feedback analysis from BigQuery in a Twist thread.
- Create Twist tasks based on data anomalies detected in BigQuery.
- Schedule weekly summaries of key BigQuery data in Twist.
Can I trigger workflows based on Twist channel messages?
Yes! Use Latenode to trigger Google Cloud BigQuery (REST) queries based on messages posted in specific Twist channels, enabling responsive data analysis.
Are there any limitations to the Google Cloud BigQuery (REST) and Twist integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from Google Cloud BigQuery (REST) may impact workflow execution time.
- Twist API rate limits might affect high-volume message posting.
- Complex BigQuery queries may require optimization for efficient processing.