Google Cloud BigQuery and Ortto Integration

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Enrich Ortto profiles with granular insights from Google Cloud BigQuery, creating hyper-targeted campaigns. Latenode's JavaScript support allows custom data transformations, while affordable pricing scales with your marketing needs.

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Google Cloud BigQuery

Ortto

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Ortto

Create a New Scenario to Connect Google Cloud BigQuery and Ortto

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

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Run node once

Add the Ortto Node

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

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Authenticate Ortto

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

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

Google Sheets + Ortto: When a new row is added to Google Sheets, create or update a person's profile in Ortto.

Ortto + Slack: When a new activity event occurs in Ortto, find the user's email and send a direct message to them on Slack.

Google Cloud BigQuery and Ortto 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 Ortto

Use Ortto in Latenode to automate personalized marketing campaigns. Trigger emails, SMS, or push notifications based on real-time data from any source. Segment users and update profiles dynamically within Latenode workflows, responding instantly to behavior. Improve engagement by connecting Ortto's segmentation to your Latenode data pipelines.

See how Latenode works

FAQ Google Cloud BigQuery and Ortto

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

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

Can I segment Ortto audiences using BigQuery data?

Yes, with Latenode! Automatically update Ortto segments using BigQuery data analysis for personalized marketing. Benefit from advanced data manipulation capabilities.

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

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

  • Automatically updating Ortto contact properties with BigQuery analysis.
  • Triggering Ortto journeys based on data changes in Google Cloud BigQuery.
  • Enriching Ortto customer profiles using data from Google Cloud BigQuery.
  • Synchronizing campaign performance data from Ortto to Google Cloud BigQuery.
  • Creating custom reports in Google Cloud BigQuery using Ortto data.

Can Latenode handle large Google Cloud BigQuery datasets efficiently?

Yes! Latenode is designed for scalable data processing, enabling efficient handling of large Google Cloud BigQuery datasets without performance bottlenecks.

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

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

  • Initial data synchronization might take time depending on dataset size.
  • Complex data transformations may require JavaScript knowledge.
  • API rate limits of Google Cloud BigQuery and Ortto still apply.

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