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Exploring
Apache Airflow® 3

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Coming soon to a city near you!

Get up to speed on Airflow 3, the most transformative release in Airflow’s history. You’ll get a deep dive into key features of Airflow including: DAG Versioning, native backfill management and improved support for AI, ML & event-driven workloads. With these innovations, Airflow 3 redefines orchestration, offering more flexibility and control than ever before.

Join us to explore how these new capabilities can transform the way you automate and operationalize data workflows!

London

May 21 | 10:30am - 4:30pm

London

Andaz London Liverpool Street
40 Liverpool Street, London, EC2M 7QN, UK

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New York

June 25 | 10:30am - 4:30pm

New York

Classic Car Club Manhattan
1 PIER 76, 408 12th Ave, New York, NY

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Sydney

July 10 | 10:30am - 4:30pm

Sydney

Doltone House Hyde Park
Level 3, 181 Elizabeth St, NSW 2000

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San Francisco

July 24 | 10:30am - 4:30pm

San Francisco

Terra Gallery
511 Harrison St, San Francisco, CA

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Chicago

August 7 | 10:30am - 4:30pm

Chicago

City Hall
838 W. Kinzie, Chicago, IL

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What to Expect

Unlock the Future of Data Orchestration

Airflow 3 takes workflow automation to the next level with greater flexibility, scalability, and security. Discover powerful new capabilities that simplify pipeline management and enhance execution.

The Real-World Impact of Airflow 3

DAG Versioning, streamlined backfills, and real-time triggers. It's everything you love about Airflow—supercharged. Learn how organizations are leveraging these features to transform their data operations.

Airflow 3 Workshop

Get hands-on with Airflow's powerful new capabilities. Master features like improved task execution, enhanced observability, and security updates to supercharge your workflow orchestration – all while ensuring a smooth transition to Airflow 3.

FAQs

When is the release schedule for Airflow 3.0?
We expect development to conclude by the end of 2024 with beta releases following shortly afterwards. We anticipate Release Candidates to be cut during March 2025, leading to an anticipated GA following soon after. All dates are subject to change.
What are the additional languages that will be supported in Airflow 3.0?
Initially Go, Java, Javascript, and Typescript. Support for additional languages are planned in the future. Language sequence may change based on demand.
Does Airflow 3.0 support DAG authoring in additional languages?
No, DAGs will still be written in Python. Airflow 3 will be multilingual, so that DAGs generated from a DagFactory or a custom DSL, or a DAG natively written in Python can invoke Tasks written in any language By extending task support for other languages, Airflow can integrate with application APIs written in Java, Javascript or Typescript.
How does the new architecture in Airflow 3.0 balance distributed execution with control?
While execution is distributed, you maintain centralized control, reducing the operational complexity that often characterizes distributed systems.

Presented by Astronomer

Explore the best way to develop and deliver data products.

Supercharge your development.

Empower engineers from multiple teams to efficiently build, test, and deploy data products on Airflow, even if they lack Python skills.

Keep critical applications running.

Ensure reliable, elastic, secure, and multi-tenant data product delivery across hybrid and multi-cloud environments, with detailed reporting.

Get complete visibility into your data pipelines.

A single pane of glass to govern and optimize the data product lifecycle with full lineage, alerting, and proactive recommendations.

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