Note
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Access to this page requires authorization. You can try changing directories.
Important
This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for Google Analytics Aggregated from the Previews page. See Manage Azure Databricks previews.
The managed Google Analytics Aggregated connector in Lakeflow Connect ingests aggregated Google Analytics 4 (GA4) report data, such as users, sessions, events, acquisition, ecommerce, and demographics metrics, from the Google Analytics Data API into Azure Databricks. It also supports custom reports with the dimensions and metrics that you select.
Note
To ingest raw, event-level GA4 data that Google Analytics exports to BigQuery, use the Google Analytics Raw Data connector instead.
Feature availability
| Feature | Availability |
|---|---|
| UI-based pipeline authoring |  Not supported |
| API-based pipeline authoring |  Supported |
| Declarative Automation Bundles | Supported |
| Incremental ingestion | Supported |
| Unity Catalog governance | Supported |
| Orchestration using Lakeflow Jobs | Supported |
| API-based column selection and deselection | Supported |
| API-based row filtering | Not supported |
| Slowly changing dimensions (SCD) type 2 | Supported |
| Automated schema evolution: New and deleted columns | Supported |
| Automated schema evolution: Data type changes | Not supported |
| Automated schema evolution: Column renames | Not supported Requires a full refresh. |
Authentication methods
| Authentication method | Availability |
|---|---|
| Service account (OAuth 2.0 machine-to-machine) (Recommended) | Supported |
| OAuth 2.0 user-to-machine (U2M) | Supported |
| Basic authentication (username/password) | Not supported |
| Basic authentication (API key) | Not supported |
Ingest from Google Analytics in 3 steps
Note
Before starting, review the Azure Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
- Configure Google Analytics for ingestion (Admins): Set up Google Analytics to authenticate with Azure Databricks.
- Create a Unity Catalog connection (Admins): Create a connection in Catalog Explorer to store credentials for Azure Databricks to authenticate with Google Analytics.
- Create an ingestion pipeline (Admins or non-admins): Select any supported interface and create a pipeline from an existing connection.