Modernizing Your Data Stack: Replacing Legacy Schedulers with Apache Airflow
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Thursday, October 23, 2025
Time: 9:00 a.m. PT / 12:00 p.m. ET
Organizations deploying to the cloud and preparing for AI initiatives can find that legacy workflow schedulers slow delivery, fragment operations, and limit flexibility. Modernizing their data stack often requires replacing brittle scheduling with a modern, open foundation for data orchestration.
This webinar provides a practical path to modern orchestration by standardizing on Apache Airflow. Join TDWI’s VP of research and experts from Astronomer as they explore modern data pipelines and demonstrate how Apache Airflow can provide the orchestration foundation organizations require.
Topics we’ll cover:
- Learn how Apache Airflow unlocks enhanced performance, reliability, and customization compared to legacy schedulers
- Migration blueprint: discovery, translation, validation, parallel run, cutover
- How to inventory existing jobs, translate schedules and dependencies, and simplify data pipelines into Airflow DAGs
- Production patterns (parallel run, canary cutover, and rollback) to de‑risk the transition
- Operating with observability and reliability at scale: alerting, lineage signals, SLIs/SLOs for pipelines
Guest Speakers
Philippe Gagnon
Architect
Astronomer
Philippe Gagnon an architect within the solutions engineering team at Astronomer, partnering with organizations to replace inflexible, legacy schedulers with modern orchestration powered by Apache Airflow. He brings hands-on expertise in designing migration blueprints and ensuring a smooth, low-risk transition to Airflow.
Pranav Bahadur
Product Marketing Manager
Astronomer
Pranav Bahadur is a product marketing manager at Astronomer, helping organizations understand the strategic value of modern data orchestration. He focuses on sharing best practices and insights that guide teams as they evolve from traditional scheduling approaches to modern orchestration with Apache Airflow, enabling them to operate with greater reliability and flexibility at scale.
Date: October 23, 2025
Time: 9:00 am PT
Fern Halper, Ph.D.