How to connect Google Cloud BigQuery (REST) and SOS Inventory
Create a New Scenario to Connect Google Cloud BigQuery (REST) and SOS Inventory
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 SOS Inventory will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or SOS Inventory, 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.

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

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Authenticate SOS Inventory
Now, click the SOS Inventory node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your SOS Inventory settings. Authentication allows you to use SOS Inventory through Latenode.
Configure the Google Cloud BigQuery (REST) and SOS Inventory 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 Google Cloud BigQuery (REST) and SOS Inventory 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), SOS Inventory, 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 SOS Inventory integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and SOS Inventory (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 SOS Inventory
Google Cloud BigQuery (REST) + SOS Inventory + Slack: BigQuery periodically analyzes inventory data from SOS Inventory. When stock levels fall below a defined threshold, a Slack message is sent to the team to prevent stockouts.
SOS Inventory + Google Cloud BigQuery (REST) + Google Sheets: When a new shipment arrives in SOS Inventory, the data is inserted into a BigQuery table. Then, inventory stock reports in Google Sheets are updated to reflect the new stock levels.
Google Cloud BigQuery (REST) and SOS Inventory 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.
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About SOS Inventory
Sync SOS Inventory with Latenode to automate stock updates and order processing. Connect your inventory data to accounting, e-commerce, or shipping platforms. Build visual workflows to trigger actions based on inventory levels or sales data. Use no-code tools or custom scripts to tailor the flow, avoiding manual data entry and ensuring real-time accuracy.
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FAQ Google Cloud BigQuery (REST) and SOS Inventory
How can I connect my Google Cloud BigQuery (REST) account to SOS Inventory using Latenode?
To connect your Google Cloud BigQuery (REST) account to SOS Inventory 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 SOS Inventory accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze inventory data in BigQuery?
Yes, you can! Latenode enables automated data transfer from SOS Inventory to Google Cloud BigQuery (REST) for in-depth analysis, unlocking insights and optimizing stock levels.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with SOS Inventory?
Integrating Google Cloud BigQuery (REST) with SOS Inventory allows you to perform various tasks, including:
- Automating inventory data backups to a Google Cloud BigQuery (REST) dataset.
- Creating real-time sales performance dashboards using SOS Inventory data.
- Generating custom inventory reports based on BigQuery data analysis.
- Predicting future demand using historical sales data from SOS Inventory.
- Triggering alerts based on inventory levels via BigQuery queries.
CanIuseJavaScripttomanipulatedatafromGoogleCloudBigQuery(REST)?
Yes! Latenode allows you to use JavaScript to transform data between Google Cloud BigQuery (REST) and SOS Inventory, offering ultimate control.
Are there any limitations to the Google Cloud BigQuery (REST) and SOS Inventory integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Initial data synchronization may take time depending on the data volume.
- Complex data transformations may require advanced JavaScript knowledge.
- Real-time updates are subject to API rate limits of both services.