An online event focusing on data quality and governance brought together professionals and open-source community members to discuss best practices in managing analytical data. Key topics included automated testing of data pipelines, the value of version control for datasets and machine learning models, and the evaluation of ETL orchestration tools beyond Airflow. Expert speakers, such as Gleb Mezhanskiy, emphasized embedding testing in workflows and automating data testing processes to detect issues early. The event also highlighted the challenges of data discoverability and lineage at SpotHero and the deployment of data catalogs, with Maggie Hays sharing insights on the implementation of DataHub. Max Gasner discussed building reliable data applications using Dagster, focusing on functional data engineering and the importance of isolating external resources from business logic. Overall, the event underscored the importance of structured testing, data discoverability, and efficient data orchestration in developing robust data systems.