Building a Better Lakehouse: From Airflow to Dagster

A tutorial on building a lakehouse using open-source tools like MinIO, Trino, Iceberg, and dbt was enhanced by replacing Apache Airflow with Dagster for orchestration, leading to improved data platform capabilities. The original setup used basic daily data processing and time-based scheduling, while the enhanced version implemented Dagster's smart partitioning, event-driven architecture with sensors, and a pure SQL lakehouse pattern for better performance and scalability. Additionally, the enhancement introduced a comprehensive data quality framework and advanced orchestration features, such as asset selection and modern project development tools, which increase operational efficiency, developer productivity, and business value. The comparison between both implementations showcases how selecting the right orchestration layer can significantly impact data platform capabilities and maintainability. The enhanced version is more robust and scalable, highlighting that technology choices at every layer are crucial for building an effective data platform.

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