### Description

It would be nice if we could give the DatabricksSubmitRunOperator a pipeline name instead of a pipeline_id for cases when you do not already know the pipeline_id but do know the name. I'm not sure if there's an easy way to fetch a pipeline_id.

### Use case/motivation

Avoid hardcoding pipeline ID's, storing the ID's elsewhere, or fetching the pipeline list and filtering it manually if the pipeline name is known, but ID is not.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

def test_init_with_named_parameters(self):
        """
        Test the initializer with the named parameters.
        """
        op = DatabricksRunNowOperator(job_id=JOB_ID, task_id=TASK_ID)
        expected = utils.normalise_json_content({"job_id": 42})
        assert expected == op.json
    def test_init_with_json(self):
        """
        Test the initializer with json data.
        """
        json = {
            "notebook_params": NOTEBOOK_PARAMS,
            "jar_params": JAR_PARAMS,
            "python_params": PYTHON_PARAMS,
            "spark_submit_params": SPARK_SUBMIT_PARAMS,
            "job_id": JOB_ID,
        }
        op = DatabricksRunNowOperator(task_id=TASK_ID, json=json)
        expected = utils.normalise_json_content(
            {
                "notebook_params": NOTEBOOK_PARAMS,
                "jar_params": JAR_PARAMS,
                "python_params": PYTHON_PARAMS,
                "spark_submit_params": SPARK_SUBMIT_PARAMS,
                "job_id": JOB_ID,
            }
        )
        assert expected == op.json
    def test_init_with_merging(self):