Open Standards Make MLOps Easier and Silos Harder - MLOps Podcast Episode 234
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the importance of open standards in MLOps with Cody Peterson, Senior Technical Product Manager at Voltron Data, in this 46-minute podcast episode. Discover how open-source projects like Ibis and Apache Arrow are revolutionizing data handling, enabling scalability beyond traditional tools like pandas. Learn about the benefits of composable data systems, avoiding vendor lock-in, and keeping costs low. Gain insights into the evolution of data engineering, the role of SQL versus data frames, and the concept of "Open Periphery" in building next-generation data systems. Understand how open standards can break down silos in real-world engineering teams and improve collaboration in machine learning projects.