Ingest Okta system logs with the new Lakeflow Connect connector
The managed Okta System Logs connector in Lakeflow Connect is now in Beta to bring audit and security events into Databricks.
O que mudou
Use cases
Imagine you need to centralize security and user activity events from Okta into your lakehouse for analysis and auditing. With this connector, you can:
- Incrementally ingest Okta system log events.
- Authenticate using SSWS tokens.
- Author pipelines using the API or Declarative Automation Bundles.
How to use
# Example of configuring an ingestion pipeline via API or notebook
pipeline_config = {
"name": "okta-system-logs-pipeline",
"connection_id": "my_uc_connection",
"target": "my_catalog.my_schema"
}
What happens in this code:
- Sets the name of the ingestion pipeline.
- Points to the connection created in Unity Catalog.
- Specifies the target location in the catalog.
Limitations and requirements
- Stage: Beta.
- Requires a workspace admin to turn on Lakeflow Connect for Okta System Logs from the Previews page.
- Supported authentication is exclusively via SSWS API token.
- Only supports incremental ingestion of append-only events.
- lakeflow connect
- okta
- streaming
- unity catalog
- pipelines
Okta System Logs connector is available in Beta
Resumo e explicação gerados por IA a partir da release note oficial. Em caso de dúvida, a documentação oficial da plataforma prevalece.
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