Airflow's Limitations for MLOps - Challenges and Alternatives
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a thought-provoking podcast episode featuring Stephen Bailey, who shares his insights on data platforms and MLOps challenges. Delve into topics such as training stakeholders, modular job design, and data classification for improved user understanding. Discover the importance of balancing speed with perfection in data engineering projects. Learn about Stephen's experience at Whatnot, a live shopping marketplace for collectibles, and his previous work in privacy tech. Gain valuable perspectives on orchestration layers, recommender systems, and the controversies surrounding Airflow in MLOps. Connect with the MLOps community through various channels and explore related resources, including Stephen's blog post "Airflow's Problem" and the "Fundamentals of Data Engineering" book.