Build a useful connection reference automatically
Get a recurring reference for the Unity Catalog connections your work depends on, based on details returned by Databricks.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Get Catalog Connection
Retrieves metadata and configuration for a data connection.
Why this helps
Connection details become hard to find when different data tasks depend on different external sources.
- Keep selected connection details together in recurring reports.
- Reduce time spent revisiting connection setup context.
- Make external source references easier to pick up after a break.
Setup
Build it in a few focused steps.
- 1Connect Ai ml api and Databricks once in the Notis portal.
- 2Create an automation and tell Notis which connections to include and what reference details to summarize.
- 3Pick a recurring schedule and choose where run reports should go.
- 4Test with one real connection and review the reference.
Questions about this workflow
What can the reference include?
It can summarize connection metadata, configuration, and properties returned by Databricks.
Can the report compare current details with older ones?
A prior reference or baseline must be supplied for a historical comparison.
Does it edit the connections?
No. The workflow retrieves connection details.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Ai ml api to Databricks. A trigger fires from one place; an action lands in another.
Ai ml api triggers
Databricks actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Add Member to Security Group
Adds a user or group to a Databricks security group.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Delete Custom LLM Agent
Irreversibly deletes a custom LLM agent and all its associated data.
Create Databricks App
Creates a Databricks app in the workspace.
Delete Databricks App
Deletes a Databricks app and its associated service principal.
Deploy Databricks App
Deploys an app from workspace source code and provisions its compute resources.
Get Databricks App Details
Retrieves an app’s configuration, deployment status, resources, and metadata.
Get Databricks App Permission Levels
Lists the permission levels available for an app.
Get Databricks App Permissions
Retrieves who can access an app and their permission levels.
Connect any two apps with Notis in the middle.
Ai ml api and Databricks, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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