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Centralize Productboard feature request data in Google Cloud BigQuery (REST) for advanced analysis. Latenode's visual editor and affordable execution pricing make complex data pipelines easy and cost-effective, plus you can customize with JavaScript for bespoke transformations.
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Create a New Scenario to Connect Productboard and Google Cloud BigQuery (REST)
In the workspace, click the โCreate New Scenarioโ button.
Add the First Step
Add the first node โ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Productboard, triggered by another scenario, or executed manually (for testing purposes). In most cases, Productboard or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Productboard or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the Productboard Node
Select the Productboard node from the app selection panel on the right.
Productboard
Configure the Productboard
Click on the Productboard node to configure it. You can modify the Productboard URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the Productboard node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
Productboard
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) 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 (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Productboard and Google Cloud BigQuery (REST) 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 Productboard and Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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Productboard
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Productboard, Google Cloud BigQuery (REST), and any additional nodes, donโt 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 โRun onceโ and triggering an event to check if the Productboard and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Productboard and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Productboard + Google Cloud BigQuery (REST) + Slack: When a new feature is added to Productboard, a query is run in Google Cloud BigQuery (REST) to retrieve related data. This data is then used to send a message to a Slack channel, notifying the team about the new feature and providing relevant context from BigQuery.
Productboard + Google Cloud BigQuery (REST) + Google Sheets: When a new feature is added to Productboard, data is loaded into Google Cloud BigQuery (REST). Then, that data from BigQuery is retrieved and added as a new row to a specified Google Sheet for analysis and team review.
About Productboard
Sync Productboard insights into Latenode to automate product development workflows. Track feature requests, prioritize tasks, and trigger actions in other apps (like Jira or Slack) based on user feedback. Build custom reports and alerts using Latenode's visual editor, making feedback actionable across teams without manual data wrangling.
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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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How can I connect my Productboard account to Google Cloud BigQuery (REST) using Latenode?
To connect your Productboard account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I analyze feature request impact across product areas?
Yes, you can! Latenode lets you build custom dashboards with Productboard data in BigQuery, combining no-code blocks and SQL for granular reporting and faster, AI-powered insights.
What types of tasks can I perform by integrating Productboard with Google Cloud BigQuery (REST)?
Integrating Productboard with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
What Productboard data can I access in Latenode for automations?
Latenode lets you access features, components, user feedback, and prioritization scores for advanced automation workflows.
Are there any limitations to the Productboard and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: