It's quite possible that the sandbox environment could be a factor in this issue. Sandbox projects in Google Cloud Platform (GCP) have limitations compared to regular projects, especially when it comes to data storage and processing capabilities.
Here are some steps to investigate and potentially resolve the issue:
Check Permissions and Settings:
Ensure that the service account used for linking Google Analytics 4 (GA4) to BigQuery has the necessary permissions and access to export data. Confirm that the setup remains intact and hasn’t undergone any changes.
Error Logs and Notifications:
Review error logs or notifications within both Google Analytics and BigQuery interfaces. This might provide insight into any recent errors or issues causing the data export to stop.
Review Export Configuration:
Double-check the export configuration in GA4 to ensure that the correct dataset and table are specified for the export to BigQuery. Sometimes, configurations might inadvertently change or get disrupted.
Sandbox Project Limitations:
As you mentioned, sandbox projects have limitations. Confirm that the data export isn’t hitting any of these limitations. For instance, there might be storage, processing, or export frequency limitations in the sandbox environment that could have affected the data export.
Testing in a Non-Sandbox Project:
If possible, consider setting up a similar export configuration in a non-sandbox GCP project. This could help determine if the sandbox limitations are indeed causing the problem.
Monitoring and Alerts:
Set up monitoring or alerts within GCP to notify you of any issues with the data export in real-time. This proactive approach can help catch any problems as soon as they occur.
Remember, sandbox projects are designed for testing and development purposes and might have limitations that could impact certain functionalities like data exports. If the issue persists and it's critical for your production environment, consider using a non-sandbox project for this integration.
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