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title: "Workshop: Your First Apache Airflow Contribution" | ||
speakers: | ||
- Ryan Hatter | ||
track: | ||
- Workshop | ||
room: Yorkshire | ||
time_start: 2024-09-11 10:30:00 | ||
time_end: 2024-09-11 13:00:00 | ||
summary: "Join us in this hands-on workshop where we'll walk you through the first steps of your first Airflow contribution." | ||
list_order: 1 | ||
day: "20241" | ||
--- | ||
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Ready to make your first contribution to Apache Airflow? Join us in this hands-on workshop where we'll walk you through the first steps of your first Airflow contribution. We’ll start with the basics, showing you how to set up your development environment (although it’s strongly recommended to have Breeze already installed) and find issues that match your skills. You’ll learn how to navigate the contribution process, from creating your first pull request to understanding how to get feedback from the community. Whether you want to write code, improve documentation, or provide feedback, there’s a place for everyone. Let's get started and see your name on the list of Airflow contributors! |
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title: "Workshop: Unleash Airflow's Potential with hands-on Performance Optimization workshop" | ||
speakers: | ||
- Aneel Murari | ||
track: | ||
- Workshop | ||
room: Elizabethan D | ||
time_start: 2024-09-12 14:00:00 | ||
time_end: 2024-09-12 16:40:00 | ||
summary: "Learn how you can utilize Airflow to build ML workflows/pipelines. You will create and orchestrate tasks such as data transformation, model training, testing, and evaluation using different analytic and AI/ML services." | ||
list_order: 5 | ||
day: "20242" | ||
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This interactive workshop session empowers you to unlock the full potential of Apache Airflow through performance optimization techniques. Gain hands-on experience identifying performance bottlenecks and implementing best practices to overcome them. Discover configuration options to adjust resource allocation and optimize processing. Also learn how to leverage advanced features like deferrable operators, dynamic DAGs and dynamic task mapping for complex workflows. | ||
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github: | ||
events: | ||
- 2024 | ||
draft: true | ||
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github: | ||
events: | ||
- 2024 | ||
draft: true | ||
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