How to connect Atera and Google Cloud BigQuery (REST)
Create a New Scenario to Connect Atera and Google Cloud BigQuery (REST)
In the workspace, click the βCreate New Scenarioβ button.

Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Atera, triggered by another scenario, or executed manually (for testing purposes). In most cases, Atera or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find Atera or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.

Add the Atera Node
Select the Atera node from the app selection panel on the right.


Atera

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


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Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the Atera and Google Cloud BigQuery (REST) 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 Atera and Google Cloud BigQuery (REST) 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 donβt 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Atera, Google Cloud BigQuery (REST), and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the Atera and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between Atera and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Atera and Google Cloud BigQuery (REST)
Atera + Google Cloud BigQuery (REST) + Google Sheets: Extracts technician performance data from Atera, inserts it into a BigQuery table, and then updates a Google Sheet for weekly report visualization.
Atera + Google Cloud BigQuery (REST) + Slack: Monitors ticket volume trends in BigQuery based on Atera data. When unusual trends are detected by a new row insertion, a Slack message alerts the on-call team.
Atera and Google Cloud BigQuery (REST) integration alternatives

About Atera
Use Atera with Latenode to automate IT support tasks. Trigger workflows on alerts, automatically create tickets, or update asset info. Integrate Atera's monitoring data with other apps for deeper insights and faster issue resolution. Customize rules and actions using Latenode's visual editor or JavaScript for precise automation.
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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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See how Latenode works
FAQ Atera and Google Cloud BigQuery (REST)
How can I connect my Atera account to Google Cloud BigQuery (REST) using Latenode?
To connect your Atera account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Atera and click on "Connect".
- Authenticate your Atera and Google Cloud BigQuery (REST) accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze Atera support tickets in BigQuery?
Yes, you can! Latenode enables seamless data transfer. Gain insights by analyzing ticket trends and agent performance data in Google Cloud BigQuery (REST) for better decision-making.
What types of tasks can I perform by integrating Atera with Google Cloud BigQuery (REST)?
Integrating Atera with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
- Backing up Atera ticket data to a secure data warehouse.
- Creating custom reports on technician performance using BigQuery.
- Analyzing customer satisfaction scores alongside support ticket data.
- Automating data synchronization between Atera and Google Cloud BigQuery (REST).
- Building dashboards to visualize Atera data trends over time.
CanItriggerworkflowsbasedonnewAteraticketsusingLatenode?
Yes! Latenode allows you to trigger workflows based on new tickets. Automate tasks like sending alerts or updating project statuses with ease.
Are there any limitations to the Atera and Google Cloud BigQuery (REST) 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 dataset size.
- Complex data transformations may require JavaScript knowledge.
- API rate limits of Atera and Google Cloud BigQuery (REST) apply.