Dagster is presented as a more effective alternative to Airflow for modern data orchestration by focusing on data assets rather than tasks. Its asset-centric approach provides better visibility, lineage, and support for data quality, enabling teams to build scalable platforms that empower self-service for data consumers. Transitioning from Airflow to Dagster can be done incrementally, allowing teams to modernize their data workflows at their own pace.