Google Analytics Raw Data connector

The managed Google Analytics Raw Data connector in Lakeflow Connect allows you to ingest event-level data from Google Analytics 4 (GA4) into Databricks using BigQuery export.

What to know before you start

Topic	Why it matters
Databricks user persona	The workflow depends on your Databricks user persona: Single-user: An admin user creates a Unity Catalog connection and an ingestion pipeline. Multi-user: An admin user creates a connection for non-admin users to create pipelines with.
Authentication method	The steps to create a connection depend on the authentication method you choose. For supported methods, see Authentication methods.
Interface	The steps to create a pipeline depend on the interface.
Ingestion frequency	The pipeline schedule depends on your latency and cost requirements.
Common patterns	Depending on your ingestion needs, the pipeline might use configurations like history tracking, column selection, and row filtering. Supported configurations vary by connector. See Feature availability.

Start ingesting from Google Analytics

The following table provides an overview of the end-to-end Google Analytics Raw Data ingestion flow, based on user type:

User	Steps
Admin	Export your GA4 data to BigQuery. See Set up Google Analytics 4 and Google BigQuery for Databricks ingestion. Either: Use Catalog Explorer to create a connection to Google Analytics Raw Data so that non-admins can create pipelines. See Google Analytics Raw Data. Use the data ingestion UI to create a connection and a pipeline at the same time. See Ingest data from Google Analytics 4.
Non-admin	Use any supported interface to create a pipeline from an existing connection. See Ingest data from Google Analytics 4.