Google Cloud BigQuery (REST) and Google slides Integration

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Google Cloud BigQuery (REST)

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery (REST) and Google slides

Create a New Scenario to Connect Google Cloud BigQuery (REST) and Google slides

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

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

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Authenticate Google slides

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

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

Google Cloud BigQuery (REST) + Google Sheets + Google Slides: Query data from BigQuery, write the query results to a Google Sheet, then refresh a chart in a Google Slides presentation to reflect the updated data.

Google Slides + Google Cloud BigQuery (REST) + Slack: When a new presentation is created in Slides, a query is run against BigQuery, and summary statistics from the query results are sent to a Slack channel.

Google Cloud BigQuery (REST) and Google slides 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 slides

Automate Google Slides creation and updates in Latenode. Generate presentations from data, auto-populate templates, and ensure consistent branding across all decks. Trigger flows from new data or events, replacing manual updates and saving time. Use AI to summarize source documents for slides.

See how Latenode works

FAQ Google Cloud BigQuery (REST) and Google slides

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

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

Can I automate report generation with BigQuery data in Slides?

Yes, you can! Latenode's flexible data transformation tools let you easily format BigQuery data for visually compelling slides, automating report creation and saving time.

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

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

  • Automatically update charts in slides with the latest BigQuery data.
  • Generate presentation decks from query results on a schedule.
  • Create personalized slide presentations based on customer data.
  • Dynamically populate slide templates with real-time BigQuery metrics.
  • Share key BigQuery insights through automated, data-driven stories.

HowdoIhandlelargeBigQuerydatasetswhenupdatingSlidesviaLatenode?

Latenode efficiently handles large datasets by processing data in chunks, ensuring smooth updates without overloading Google slides API limits.

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

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

  • Complex slide formatting may require custom JavaScript code.
  • Very large datasets may take time to process and update.
  • The number of API calls is subject to Google's rate limits.

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