4 Tricks That Help You Leverage Your Airflow Pipelines | Aliaksandr Sheliutsin | Conf42 DevOps 2024

4 Tricks That Help You Leverage Your Airflow Pipelines | Aliaksandr Sheliutsin | Conf42 DevOps 2024

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Комментарии:

@lliza-h6u
@lliza-h6u - 06.12.2024 12:49

Event-driven workflows in Airflow? That’s a game-changer! Could you elaborate on the validation challenges you mentioned?

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@Egor_076
@Egor_076 - 06.12.2024 12:53

Super practical tips! Watching this saved me hours of debugging my overly complex pipelines.

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@Ch.S.M-y8m
@Ch.S.M-y8m - 09.12.2024 11:14

That session sounds fascinating! Airflow pipelines are such a critical part of modern data workflows, and I’d love to hear more about the specific tricks discussed. your insights on optimizing these pipelines could be game-changing, especially for teams dealing with scalability and reliability challenges.

One question I have: How do you balance pipeline complexity with maintainability when implementing these optimizations? For instance, introducing dynamic task generation or custom operators can be powerful but might also make debugging or onboarding more challenging. What’s your advice for keeping pipelines both efficient and manageable over time?

Looking forward to applying some of these strategies to my own projects!

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@alexeisirin2264
@alexeisirin2264 - 09.12.2024 11:40

Aliaksandr, you nailed it! These tricks simplify Airflow so much. Can’t wait to try the auto-generated DAGs technique!

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