Building data-driven components and applications doesn't have to be so ducking hardWasm SDK



Apache Airflow is a platform designed for programmatically authoring, scheduling, and monitoring workflows. It's built with scalability, dynamism, extensibility, and elegance in mind, allowing users to define workflows in Python, which offers dynamic pipeline generation. The platform features a user-friendly interface for monitoring and managing workflows and robust integrations with various third-party services, emphasizing its utility in a wide range of data engineering tasks. Although the specific integration details with DuckDB and MotherDuck were not directly available on the Apache Airflow website, integrating Airflow with these or similar services generally involves using custom or available operators to manage data flows and processing tasks within Airflow's pipelines.

For more detailed information, please visit the Apache Airflow website.

Airflow and MotherDuck

Apache Airflow can integrate with MotherDuck by utilizing custom Python operators that leverage the DuckDB Python API for executing SQL queries. This integration involves specifying the MotherDuck database using a connection string that includes authentication details, allowing Airflow to schedule and manage workflows that interact with MotherDuck for data processing tasks.


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