Google Cloud BigQuery (REST) and Google Cloud Pub\Sub Integration

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Streamline real-time data analysis: Trigger Google Cloud BigQuery (REST) queries from Google Cloud Pub/Sub events, building responsive data pipelines visually in Latenode. Scale affordably and customize with JavaScript for advanced transformations.

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Google Cloud BigQuery (REST)

Google Cloud Pub\Sub

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery (REST) and Google Cloud Pub\Sub

Create a New Scenario to Connect Google Cloud BigQuery (REST) and Google Cloud Pub\Sub

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 Google Cloud Pub\Sub will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Google Cloud Pub\Sub, 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.

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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.

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Add the Google Cloud Pub\Sub Node

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

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Authenticate Google Cloud Pub\Sub

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

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Configure the Google Cloud BigQuery (REST) and Google Cloud Pub\Sub 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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Set Up the Google Cloud BigQuery (REST) and Google Cloud Pub\Sub 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), Google Cloud Pub\Sub, 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 Google Cloud Pub\Sub integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Google Cloud Pub\Sub (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 Google Cloud Pub\Sub

Google Cloud BigQuery (REST) + Google Cloud Pub/Sub + Google Sheets: Analyze data in BigQuery using a scheduled query job. Publish key metrics and insights to a Pub/Sub topic. Subscribe to this topic and log summaries of published messages into a Google Sheet for historical tracking and reporting.

Google Cloud Pub/Sub + Google Cloud BigQuery (REST) + Slack: Monitor a Pub/Sub topic for alerts generated from BigQuery data analysis. When a new message is received, extract relevant information and send a notification to a designated Slack channel, informing the team of critical insights or anomalies detected in BigQuery.

Google Cloud BigQuery (REST) and Google Cloud Pub\Sub 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.

About Google Cloud Pub\Sub

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FAQ Google Cloud BigQuery (REST) and Google Cloud Pub\Sub

How can I connect my Google Cloud BigQuery (REST) account to Google Cloud Pub\Sub using Latenode?

To connect your Google Cloud BigQuery (REST) account to Google Cloud Pub\Sub 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 Google Cloud Pub\Sub accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I trigger data analysis on new Pub/Sub messages?

Yes, Latenode lets you trigger BigQuery analysis from Pub/Sub messages. Automate pipelines, reduce manual work, and gain faster insights with seamless data processing.

What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Google Cloud Pub\Sub?

Integrating Google Cloud BigQuery (REST) with Google Cloud Pub\Sub allows you to perform various tasks, including:

  • Stream real-time data from Pub/Sub into BigQuery for immediate analysis.
  • Automate the archiving of Pub/Sub messages into BigQuery tables.
  • Trigger data quality checks in BigQuery based on Pub/Sub notifications.
  • Build event-driven data pipelines for processing large datasets.
  • Create real-time dashboards based on Pub/Sub data stored in BigQuery.

HowdoIhandleBigQuery(REST)authenticationinLatenode workflows?

Latenode simplifies authentication using secure credential storage. Manage your BigQuery (REST) credentials and reuse them across workflows.

Are there any limitations to the Google Cloud BigQuery (REST) and Google Cloud Pub\Sub integration on Latenode?

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

  • Complex data transformations may require JavaScript code blocks.
  • Real-time data streaming is subject to Google Cloud's service limits.
  • Initial setup requires familiarity with Google Cloud IAM roles.

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