Three ways to use Airflow with MotherDuck and DuckDB

The blog post discusses integrating DuckDB, a robust OLAP database, with Apache Airflow using MotherDuck's new serverless data analytics platform. It outlines three main methods for this integration: using the DuckDB Python package directly in Airflow tasks, utilizing the DuckDB Airflow provider for standardized connections across multiple tasks, and leveraging the Astro Python SDK for database-agnostic code. The article highlights the ease of switching to MotherDuck from local DuckDB instances by adjusting connection strings and emphasizes the suitability of DuckDB for running complex in-memory queries on normal-sized data. It provides practical examples of using DuckDB with Airflow, including creating in-memory tables and connecting to external data sources. The blog concludes by encouraging users new to these tools to explore integration through a Quickstart repository available on GitHub Codespaces.

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