This guide shows you how to access shared Tag Monitor datasets via BigQuery's Analytics Hub.
What will you do?
- Share the account with the Code-Cube.io team that should receive access
- Locate or create your Google Cloud Platform project
- Open the shared data exchange link
- Connect the dataset to your own BigQuery environment
⏰ Estimated time: 10 minutes
🔧 Requirements: GCP project with BigQuery enabled, Google account, Premium Code-Cube.io package
Introduction
BigQuery's Analytics Hub is used to share raw monitoring data. It gives you direct access to the Code-Cube.io dataset from your own Google Cloud environment, perfect for deeper analysis and custom queries.
How it works
The Analytics Hub uses a publish/subscribe model. You get access to a real-time dataset, and all query costs are billed to your own GCP project.
We can share:
- Real-time offload of Tag Monitor client-side data
- Real-time offload of Tag Monitor server-side data
Technical details
- Update frequency: Data is streamed in real-time (typically within 1-2 minutes)
- Data retention: 12 months
- Data volume: Varies based on your website traffic and sampling configuration
- Access type: Read-only via BigQuery Analytics Hub
Implementation
Step 1. Share your Google email address
Send the Google account that should receive access to your contact at Code-Cube.io or email support@code-cube.io.
Important: Make sure this Google email address has access to the relevant Google Cloud Platform project.
Step 2. Locate or set-up your Google Cloud Platform project
Create or choose the Google Cloud Project where the data should be stored.
Important: Ensure BigQuery is enabled on your project.
Step 3 – Open the shared dataset link
You'll receive a data exchange link after your access is managed by the Code-Cube.io team. Open the link while logged in with the same Google account.
3.1 Subscribe to the dataset
After opening the link, you will be redirected to a page like the one below. Click +Subscribe
3.2 Configure the linked dataset
- Project: Choose the target GCP project
- Linked dataset name: Enter a descriptive name for the dataset like ‘codecube-tag-monitor’
Step 4. Access your data
Go to your GCP console → BigQuery → and locate the newly added dataset.
Next steps:
- Use the data in Looker Studio
- Connect to external tools
- Run SQL queries directly in BigQuery
Troubleshooting
Issue | Solution |
Can’t find the dataset | Make sure you opened the link while logged in with the shared Google account |
Access denied error in BigQuery | Double-check that the shared Google account is part of the target GCP project |
Data doesn’t appear in project | Confirm the dataset was added via the “+ Add dataset to project” button |
Query errors | Ensure correct billing and permissions are active on your project |