Airflow in Action: ML and Data Engineering Insights from the Analytics-Obsessed World of MLB
Blog post from Astronomer
The Airflow Summit 2024 featured two sessions from MLB teams showcasing how data pipelines orchestrated by Apache Airflow® enable fast decision-making and drive competitive advantage for players and coaches. The Texas Rangers use Airflow running on the Astro managed service to facilitate seamless data ingestion, complex ETL pipelines, and high quality, trustworthy data production. The Philadelphia Phillies leverage Machine Learning (ML) for player evaluation, acquisition, and development, using Apache Airflow® as the orchestrator for their entire ML lifecycle. Both teams have experienced significant improvements in efficiency, reliability, and scalability through their use of Airflow.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 2 | 696 | 178 | 74 | +51% |
| Kubernetes | 1 | 1,736 | 172 | 73 | +13% |
| Real-time | 1 | 3,091 | 773 | 211 | -1% |
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