Note
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Access to this page requires authorization. You can try changing directories.
Important
This feature is in Beta. Workspace admins can control access to this feature from the Previews page. See Manage Azure Databricks previews.
The managed Netskope Logs connector in Lakeflow Connect allows you to ingest event and alert logs from Netskope into Azure Databricks.
Feature availability
| Feature | Availability |
|---|---|
| UI-based pipeline authoring |  Supported |
| API-based pipeline authoring | Supported |
| Declarative Automation Bundles | Supported |
| Incremental ingestion | Supported |
| Unity Catalog governance | Supported |
| Orchestration using Databricks Workflows | Supported |
| SCD type 2 |  Not supportedNetskope event and alert logs are append-only. |
| Automated schema evolution: New and deleted columns | Supported |
| Automated schema evolution: Data type changes | Not supported |
| Automated schema evolution: Column renames | Not supported Requires a full refresh. |
Authentication methods
| Authentication method | Availability |
|---|---|
| API token (Netskope REST API v2 token) | Supported |
| OAuth (U2M or M2M) | Not supported |
| Basic authentication (username/password) | Not supported |
Ingest from Netskope Logs in 3 steps
Note
Before starting, review the Azure Databricks user persona, supported interfaces, ingestion frequency, and common patterns.
Start ingesting from Netskope Logs
- Configure Netskope for ingestion (Admins) — Set up Netskope to authenticate with Azure 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.