If you’re on Azure, making sense of your options for data orchestration at scale can be challenging. With Azure Data Factory no longer supporting new Apache Airflow® workflows, teams are being forced to rethink how they design, operate, and scale orchestration across data, ML, and AI pipelines.
In this webinar, we’ll share why leading enterprises are standardizing on Apache Airflow, then walk through your options for running an Airflow-based orchestration strategy in Azure.
You’ll learn:
- How to evaluate orchestration options in Azure based on operational impact, cost predictability, and cross-team governance
- Trade-offs between bundled Azure services and purpose-built orchestration platforms, including visibility and version lag for Airflow 3 features
- What the shift from Azure Data Factory to Microsoft Fabric’s “Airflow Jobs” means for your immediate migration roadmap
