How to connect Microsoft SQL Server and Google slides
Create a New Scenario to Connect Microsoft SQL Server 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 Microsoft SQL Server, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft SQL Server or Google slides will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Google slides, and select the appropriate trigger to start the scenario.

Add the Microsoft SQL Server Node
Select the Microsoft SQL Server node from the app selection panel on the right.


Microsoft SQL Server

Configure the Microsoft SQL Server
Click on the Microsoft SQL Server node to configure it. You can modify the Microsoft SQL Server URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google slides Node
Next, click the plus (+) icon on the Microsoft SQL Server 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.
Configure the Microsoft SQL Server 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.
Set Up the Microsoft SQL Server 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 Microsoft SQL Server, 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 Microsoft SQL Server and Google slides integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server 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 Microsoft SQL Server and Google slides
Microsoft SQL Server + Google Slides + Slack: When a new or updated row is detected in Microsoft SQL Server, refresh a chart in Google Slides linked to that data, and then send a message to a Slack channel to notify the team of the update.
Microsoft SQL Server + Google Slides + Google Sheets: Execute a query in Microsoft SQL Server, create a new presentation in Google Slides from a template using the query results, and then save key presentation data to a Google Sheet.
Microsoft SQL Server and Google slides integration alternatives

About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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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.
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See how Latenode works
FAQ Microsoft SQL Server and Google slides
How can I connect my Microsoft SQL Server account to Google slides using Latenode?
To connect your Microsoft SQL Server account to Google slides on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SQL Server and click on "Connect".
- Authenticate your Microsoft SQL Server and Google slides accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create Google slides from database data?
Yes, with Latenode! Automatically generate presentations from your SQL Server data, saving time and ensuring consistent reporting. Scale your automation using advanced logic and code steps.
What types of tasks can I perform by integrating Microsoft SQL Server with Google slides?
Integrating Microsoft SQL Server with Google slides allows you to perform various tasks, including:
- Create weekly report slides from updated SQL Server data.
- Generate sales presentations with real-time performance metrics.
- Automatically update project status slides from task databases.
- Populate training slides with data from employee databases.
- Generate custom infographic slides from complex query results.
How secure is my Microsoft SQL Server data on Latenode?
Latenode employs robust security measures, including encryption and access controls, to protect your data during integration and processing.
Are there any limitations to the Microsoft SQL Server 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 code steps.
- Very large datasets might require optimized queries for performance.
- Real-time updates are subject to API rate limits of both apps.