We are trying to improve our documentation, and I see a guides that explains how to use these operators is missing. Here are guides for other operators: https://airflow.readthedocs.io/en/latest/howto/operator/index.html
Wouldn't you like to write a guide for this operator? In practice, the guide is an example DAG file + description.

_Originally posted by @mik-laj in https://github.com/apache/airflow/issues/9347#issuecomment-691988305_
airflow/providers/qubole/example_dags/example_qubole.py
val x = random * 2 - 1
          val y = random * 2 - 1
          if (x*x + y*y < 1) 1 else 0
        }.reduce(_ + _)
        println("Pi is roughly " + 4.0 * count / n)
        spark.stop()
      }
    }
    '''
    spark_cmd = QuboleOperator(
        task_id='spark_cmd',
        command_type="sparkcmd",
        program=prog,
        language='scala',
        arguments='--class SparkPi',
        tags='airflow_example_run',
    )
    branching >> db_import >> spark_cmd >> join
with DAG(
    dag_id='example_qubole_sensor',
    schedule_interval=None,
    start_date=START_DATE,
    tags=['example'],
) as dag2:
    dag2.doc_md = textwrap.dedent(
        """
        This is only an example DAG to highlight usage of QuboleSensor in various scenarios,
        some of these tasks may or may not work based on your QDS account setup.
        Run a shell command from Qubole Analyze against your Airflow cluster with following to
        trigger it manually `airflow dags trigger example_qubole_sensor`.