intro video
summary
Announcement for a co-presentation that demonstrates how big data engineers and data scientists divide work to build a working machine learning pipeline, from data ingestion to model serving, and how it runs in a cloud ecosystem. It presents a big data engineer perspective and a data scientist perspective, shows practical stacks like Scala and Kubernetes, and explains concrete roles, handoffs, and deployment steps rather than high-level examples.
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