Google Cloud BigQuery and PDFMonkey Integration

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Automate report generation by connecting Google Cloud BigQuery data to PDFMonkey templates. Latenode's visual editor and affordable pricing make it easy to generate personalized PDFs at scale, with custom logic using JavaScript.

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Google Cloud BigQuery

PDFMonkey

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and PDFMonkey

Create a New Scenario to Connect Google Cloud BigQuery and PDFMonkey

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 PDFMonkey will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or PDFMonkey, 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.

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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.

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Run node once

Add the PDFMonkey Node

Next, click the plus (+) icon on the Google Cloud BigQuery node, select PDFMonkey from the list of available apps, and choose the action you need from the list of nodes within PDFMonkey.

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Authenticate PDFMonkey

Now, click the PDFMonkey node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PDFMonkey settings. Authentication allows you to use PDFMonkey through Latenode.

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Configure the Google Cloud BigQuery and PDFMonkey Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Google Cloud BigQuery and PDFMonkey 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, PDFMonkey, 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 PDFMonkey integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and PDFMonkey (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 PDFMonkey

Google Cloud BigQuery + PDFMonkey + Slack: After a BigQuery data analysis completes, PDFMonkey generates a report. Slack then sends a message to a specified channel to notify the team that the report is ready, providing a link to access the generated document.

PDFMonkey + Google Cloud BigQuery + Google Sheets: When a new PDF document is generated in PDFMonkey, its metadata is logged into a BigQuery dataset. Then, a summary of this data is added as a new row to a Google Sheet for tracking and analysis.

Google Cloud BigQuery and PDFMonkey 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.

About PDFMonkey

Use PDFMonkey in Latenode to automate document creation from templates. Populate PDFs with data from any app (CRM, database, etc.) via API. Latenode lets you trigger PDF generation based on events, archive documents, and send them automatically. Simplify reporting and document workflows with no-code or custom code.

See how Latenode works

FAQ Google Cloud BigQuery and PDFMonkey

How can I connect my Google Cloud BigQuery account to PDFMonkey using Latenode?

To connect your Google Cloud BigQuery account to PDFMonkey 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 PDFMonkey accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I generate reports from BigQuery data using PDFMonkey?

Yes, you can! Latenode lets you automate report generation from BigQuery, using PDFMonkey to design and create polished, professional-looking PDFs, saving you time and ensuring consistent formatting.

What types of tasks can I perform by integrating Google Cloud BigQuery with PDFMonkey?

Integrating Google Cloud BigQuery with PDFMonkey allows you to perform various tasks, including:

  • Automatically generating invoices from BigQuery sales data.
  • Creating personalized customer reports based on BigQuery analytics.
  • Generating legal documents with data sourced directly from BigQuery.
  • Dynamically creating contracts using BigQuery data.
  • Building automated data-driven marketing reports.

How secure is my Google Cloud BigQuery data when using Latenode?

Latenode employs robust security measures, including encryption and secure authentication protocols, to protect your data during the integration process.

Are there any limitations to the Google Cloud BigQuery and PDFMonkey integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large datasets in Google Cloud BigQuery might require optimization for efficient PDF generation.
  • Complex PDF templates in PDFMonkey might require adjustments for optimal data integration.
  • The number of PDF documents generated is subject to PDFMonkey's API usage limits.

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