To trigger a Databricks notebook when new data is inserted into your local Microsoft SQL Server Management Studio (SSMS), you can use the following approach:

1. Create a trigger in your SQL Server database: In SSMS, you can create a trigger on the table where new data is inserted. The trigger can be written in T-SQL and can execute a stored procedure or an external script.

2. In the trigger, write code to send a notification or trigger your Databricks notebook: Depending on your requirements, you can choose one of the following methods:
a. Send a notification: You can use an email service or a messaging platform like Microsoft Teams or Slack to send a notification when new data is inserted. You can write code in your trigger to call an API or a library provided by the messaging platform to send the notification.

b. Trigger the Databricks notebook using the Databricks REST API:
You can use the Databricks REST API to trigger your notebook from
the trigger. The API allows you to start a run of a notebook, pass
parameters, and retrieve the output.

Here is an example of how you can trigger a Databricks notebook using the Databricks REST API from a T-SQL trigger:

CREATE TRIGGER [Your_TriggerName]
    ON [Your_TableName]
    AFTER INSERT
    AS
    BEGIN
        DECLARE @url NVARCHAR(MAX) = 'url'
    
        DECLARE @json NVARCHAR(MAX) = '
        {
            "job_id": <your-job-id>,
            "notebook_params": {
                "param1": "value1",
                "param2": "value2"
            }
        }'
    
        EXEC sp_OACreate 'MSXML2.ServerXMLHTTP', @obj OUT;
        EXEC sp_OAMethod @obj, 'open', NULL, 'POST', @url, 'false'
        EXEC sp_OAMethod @obj, 'setRequestHeader', NULL, 'Authorization', 'Bearer <databricks-token>'
        EXEC sp_OAMethod @obj, 'setRequestHeader', NULL, 'Content-Type', 'application/json'
        EXEC sp_OAMethod @obj, 'send', NULL, @json
    
        EXEC sp_OADestroy @obj
END

• Make sure to replace <databricks-instance> with your Databricks instance URL, <your-job-id> with the ID of the notebook job you want to trigger, and <databricks-token> with your Databricks personal access token.
• Please note that this is a simplified example, and you may need to modify it based on your specific environment and requirements.
• Remember to handle any potential errors and ensure that the necessary security measures are in place when implementing triggers and external API calls.
• It's also important to consider the performance impact of triggers, especially if there is heavy insertion activity on your table. You may need to optimize your trigger code or explore alternative solutions like periodically scanning for new data instead of triggering on every insertion.
• I hope this helps you get started with triggering a Databricks notebook from Microsoft SSMS based on new data inserts in your local SQL Server database.