Grouping Dataset Events to Trigger DAGs

### Description _No response_ ### Use case/motivation To handle multiple dataset updates efficiently and avoid triggering a DAG for every small dataset update (like a tiny partition), you can implement a "batching" mechanism where the DAG waits for a group of dataset events before triggering. This way, you avoid redundant DAG runs and ensure the DAG only executes when enough meaningful updates have occurred. ### Related issues _No response_ ### Are you willing to submit a PR? - [ ] 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)