Airflow 3 is here, bringing a new era of flexibility, scalability, and security to data orchestration. This release introduces groundbreaking capabilities that make it easier than ever to build, run and manage data pipelines.

In this session, we will cover the key benefits of Airflow 3, including:

• Ease of Use: Airflow 3 rethinks the user experience—from an intuitive, upgraded UI to DAG Versioning and scheduler-integrated backfills that let teams manage pipelines more effectively than ever before

• Stronger Security: By decoupling task execution from direct database connections, Airflow 3 enforces task isolation and minimal-privilege access. This meets stringent compliance standards while reducing the risk of unauthorized data exposure.

• Ultimate Flexibility: Run tasks anywhere, anytime with remote execution and event-driven scheduling. With an architecture that facilitates edge and hybrid-cloud to GPU-based deployments, Airflow 3 is designed for global, heterogeneous modern data environments.

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!

Airflow 3 unlocks new possibilities for data orchestration, but what does that mean in practice? The recent State of Apache Airflow survey revealed that while ETL/ELT for reporting / analytics, and business operations use cases are most popular, Airflow is increasingly being used for GenAI and MLOps use cases.

In this session, we’ll dive into how the new features in Airflow 3 drive these use cases forward —enhanced DAG versioning, remote execution, task isolation, event-driven scheduling, GenAI inference execution, and more.

Whether you’re looking to scale workflows, improve security, or embrace event-driven scheduling, you’ll leave with fresh ideas and practical takeaways to elevate your orchestration strategy. Join us as we explore what’s possible with Airflow 3!

Practitioners who are looking to evolve their Airflow capabilities Airflow 3 introduces powerful new capabilities that provide a better user experience, increase security, and expand execution options.

In this hands-on workshop, we’ll teach you how to use some of the most anticipated features. From DAG versioning, to backfills, to data assets, to remote execution, you’ll gain practical insights to optimize your workflows.

Plus, we’ll leave you with tips for going through the upgrade process, ensuring you’ll be able to take advantage of Airflow 3 in production as soon as possible. Whether you’re an Airflow veteran or just getting started, this session will equip you with the knowledge and skills to make the most of the latest release.

Executives who are looking for strategies to elevate their data team’s impact.

The role of data teams is shifting. No longer just pipeline builders or dashboard creators, today’s data teams must evolve to drive business strategy, enable automation, and scale with growing demands. Best practices seen in the software engineering world (Agile development, CI/CD, and Infrastructure-as-code) from the DevOps movement are gradually making their way into data engineering. We see the rise of DataOps and a new wave of best practices that will transform the discipline of data engineering.

But how do you transform a reactive team into a proactive force for innovation? In this keynote, we’ll explore the key principles of building a resilient, high-impact data team—from structuring for collaboration, testing, automation, to leveraging modern orchestration tools. Whether you’re leading a team or looking to future-proof your career, you’ll walk away with actionable insights on how to stay ahead in the rapidly changing data landscape.

Join fellow data leaders for interactive roundtable discussions following the keynote. Explore strategies to elevate your data team’s impact, share challenges, and gain fresh insights on building a high-performing, future-ready team.