Batch data processing is too slow for real-time AI: How open-source Apache Airflow 3.0 solves the challenge with event-driven data orchestration

Summary

• Apache Airflow has released its 3.0 version, the first major update in four years and an overhaul of the data workflow solution.
• The update allows for multi-cloud deployments, Granular security controls and for it to work with diverse programming languages.
• The addition of event-driven capabilities will augment real-time data processing to open up uses for Artificial Intelligence and Machine Learning.
• The Texas Rangers baseball team is amongst Airflow 3.0’s early users, using the workflow solution for all data-related to player analytics.

By Sean Michael Kerner

Original Article