Vimeo connector
This feature is in Beta. To use it, a workspace admin must turn on Lakeflow Connect for Vimeo from the Previews page. See Manage Databricks previews.
The managed Vimeo connector in Lakeflow Connect ingests team, team member, team role, and audit log data from Vimeo into Databricks. It authenticates with a Vimeo personal access token, ingests audit_logs incrementally, and reingests the three team tables on every run.
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 |
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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 |
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OAuth M2M |
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Basic authentication (username/password) |
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Personal access token (bearer token) |
Requires a Vimeo personal access token and the numeric account owner user ID. |
Ingest from Vimeo in 3 steps
Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
- Configure Vimeo for ingestion (Admins): Set up Vimeo 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.