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Google Analytics 4

Google Analytics 4's BigQuery export, read by a dedicated service account. Queries run inside BigQuery and write to your warehouse; rows never pass through pipeline code.

What the connection reaches

  • Daily and intraday export tables, found by date
  • One query per run, merged into your warehouse by date
  • Only SELECT on the configured dataset; everything else is refused
Status
Built into the pipeline SDK
Connection class
BigQueryConnection
Credential
BigQuery Data Viewer on the GA4 export dataset

Connect Google Analytics 4

Three steps, the same for every connection. The credential goes to the platform, never into the repository or pipeline code.

  1. 1

    Declare it in connections/connections.py

    connections/connections.py
    from segmentstream.connections import BigQueryConnection connections = (    BigQueryConnection(key="ga4"),)
  2. 2

    Deploy

    $ segmentstream deploy
  3. 3

    Connect

    Set the project and dataset of the GA4 export in the console, or from the terminal. Saving creates a dedicated service account.

    $ segmentstream connection configure ga4 --source-project my-project --source-dataset analytics_123456
  4. 4

    Then

    Grant that service account BigQuery Data Viewer on the export dataset, then verify access.

    $ segmentstream connection verify ga4

Use it

Code asks for the connection by its key. The platform adds the credential on the way out.

pipeline/models/…
@s.model(key="ga4_events", connections=("ga4",), schema=SCHEMA, partitioning=DAILY)def ga4_events(context: s.Context) -> s.Ga4QueryResult:    client = s.ga4_bigquery_client("ga4", context=context)    client.query(sql_for(client, context.partition_keys))    return client.result()

Or ask your agent

“Connect our GA4 BigQuery export and build a daily sessions table.”

Part of these solutions

More in Analytics & social

Enterprise pilot

Want Google Analytics 4 set up for you?

Our forward-deployed engineers build one solution on your data, in your own workspace, as code you own. Tell us what you run today and what you want; your note goes straight to our founder.

  • One solution, on your data, in your own workspace
  • First version live in two weeks
  • Parity proven before anything is switched off
  • Fixed scope and price, credited to your contract if you continue

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How the pilot works

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