Latest / The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
Introducing Airflow 3.2
We introduce Airflow 3.2 and its updates for teams that build and operate data pipelines.
Astronomer’s Head of Customer Education, Marc Lamberti, and Senior Manager of Developer Relations, Kenten Danas, break down what’s new, from asset partitioning to Async Python tasks and DAG versioning. They explore how these updates improve scheduling, performance and observability in production workflows.
Key Takeaways:
00:00 Introduction.
02:10 Airflow 3 architecture separates workers from the metadata database.
03:05 Plugin versioning and UI-based backfills simplify operations.
06:20 Asset…
The skinny
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