How to connect Google Cloud BigQuery and Streak
Create a New Scenario to Connect Google Cloud BigQuery and Streak
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 Streak will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Streak, 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 Streak Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Streak from the list of available apps, and choose the action you need from the list of nodes within Streak.

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Authenticate Streak
Now, click the Streak node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Streak settings. Authentication allows you to use Streak through Latenode.
Configure the Google Cloud BigQuery and Streak 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 Streak 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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Streak
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Google Cloud BigQuery, Streak, 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 Streak integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Streak (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 Streak
Streak + Google Cloud BigQuery + Slack: When a box changes stage in Streak, the information is updated in Google Cloud BigQuery, and a summary of the change is sent to a designated Slack channel.
Streak + Google Cloud BigQuery + Google Sheets: When a new box is created in Streak, the relevant data is added to a BigQuery dataset. A Google Sheet then summarizes this data for reporting purposes by adding a new row.
Google Cloud BigQuery and Streak 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 Streak
Use Streak in Latenode to automate sales pipeline tasks. Automatically update deals, trigger follow-ups, or sync data with other apps when stages change. Integrate Streak with your marketing automation or billing systems using Latenode's visual builder, custom code, and affordable execution-based pricing. No per-step fees, full API control.
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FAQ Google Cloud BigQuery and Streak
How can I connect my Google Cloud BigQuery account to Streak using Latenode?
To connect your Google Cloud BigQuery account to Streak 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 Streak accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update Streak boxes from BigQuery data?
Yes, you can! Latenode allows you to automate data synchronization. Keep your Streak boxes updated with the latest insights from Google Cloud BigQuery for informed sales decisions.
What types of tasks can I perform by integrating Google Cloud BigQuery with Streak?
Integrating Google Cloud BigQuery with Streak allows you to perform various tasks, including:
- Automatically create Streak boxes from new BigQuery data entries.
- Update Streak box fields with calculated metrics from BigQuery.
- Trigger email sequences in Streak based on BigQuery data changes.
- Enrich BigQuery data with information extracted from Streak.
- Visualize Streak pipeline metrics stored in BigQuery.
HowsecureistheconnectionbetweenGoogleCloudBigQueryandLatenode?
Latenode uses secure authentication protocols to protect your data. Connections are encrypted, and credentials are never stored directly.
Are there any limitations to the Google Cloud BigQuery and Streak integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex queries in Google Cloud BigQuery may require optimization for real-time updates.
- Rate limits apply to both Google Cloud BigQuery and Streak APIs.
- Initial data mapping between the two platforms might require manual configuration.