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