What advanced technique can be used in Hive to optimize queries on bucketed tables by skipping unnecessary data?
In the context of Cloudera's SQL engines, what does the presence of a "Broadcast Hash Join" in an Explain Plan suggest about query performance?
In the context of packaging a PySpark application, what is the purpose of the 'requirements.txt' file?
How can you implement a data quality check in Apache Airflow that verifies the row count of a table does not decrease from the previous DAG run?
Your Airflow DAG involves sending notifications upon successful completion of the entire pipeline. How can you achieve this functionality?