Celigo connector
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Databricks previews.
To use the Celigo connector, a workspace admin must enable the Lakeflow Connect - Celigo preview on the Previews page.
The managed Celigo connector in Lakeflow Connect ingests audit log events, such as resource create, update, and delete operations, from Celigo into Databricks.
Feature availability
Feature | Availability |
|---|---|
UI-based pipeline authoring |
|
API-based pipeline authoring |
|
Declarative Automation Bundles |
|
Incremental ingestion |
|
Unity Catalog governance |
|
Orchestration using Databricks Workflows |
|
API-based column selection and deselection |
|
API-based row filtering |
|
SCD type 2 |
The |
Automated schema evolution: New and deleted columns |
|
Automated schema evolution: Data type changes |
|
Automated schema evolution: Column renames |
Requires a full refresh. |
Authentication methods
Authentication method | Availability |
|---|---|
OAuth U2M |
|
OAuth M2M |
|
Basic authentication (username/password) |
|
Basic authentication (API key) |
Celigo integrator.io full-access API token. |
Ingest from Celigo in three steps
Before starting, review the Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
- Configure Celigo for ingestion (Admins) — Set up Celigo to authenticate with Databricks.
- Create a Unity Catalog connection (Admins) — Create a connection in Catalog Explorer to store credentials for Databricks to authenticate with Celigo.
- Create an ingestion pipeline (Admins or non-admins) — Select any supported interface and create a pipeline from an existing connection.