Google Workspace connector
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.
The managed Google Workspace connector in Lakeflow Connect ingests Google Workspace activity events from 33 supported applications using the Google Workspace Admin SDK Reports API into Databricks.
Feature availability
Feature | Availability |
|---|---|
UI-based pipeline authoring |
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API-based pipeline authoring |
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Declarative Automation Bundles |
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Incremental ingestion |
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Unity Catalog governance |
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Orchestration using Databricks Workflows |
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API-based column selection and deselection |
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API-based row filtering |
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SCD Type 2 |
Activity records have VARIANT columns and are append-only. |
Automated schema evolution: New and deleted columns |
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Automated schema evolution: Data type changes |
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Automated schema evolution: Column renames |
Requires a full refresh. |
Authentication methods
Authentication method | Availability |
|---|---|
OAuth U2M |
User authorization with 3-legged OAuth consent. Requires OAuth client credentials and admin approval of the |
OAuth M2M |
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Basic authentication (username/password) |
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Google service account (domain-wide delegation) |
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Ingest from Google Workspace in 3 steps
Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
Start ingesting from Google Workspace
- Configure Google Workspace for ingestion (Admins). Set up Google Workspace to authenticate with Databricks.
- Create a Unity Catalog connection (Admins). Create a connection in Catalog Explorer so non-admins can create pipelines.
- Create an ingestion pipeline (Admins or non-admins). Select any supported interface and create a pipeline from an existing connection.