Complex data workflows need orchestration tools such as airflow to create, maintain, schedule and monitor the data pipelines. While airflow helps streamline these steps, troubleshooting a failed DAG can be a mind-numbing task - Digging through the logs, re-tracing the data transformation in each of the task instances and re-running the dags. Now, imagine the challenges of troubleshooting your dags that have 10s and 100s if not 1000s of tasks. While orchestration will bring order into the execution of the pipeline, ensuring the quality of orchestrated data pipelines is still a challenge. Join us on Wednesday to a webinar by lakeFS team to learn how to ensure data quality in orchestrated pipelines, and how to achieve full reproducibility of those processes. https://go.lakefs.io/troubleshoot-airflow-with-lakeFS