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14min chapter
MLOps meetup #12 // Why Data Scientists Should Know Data Engineering with Dan Sullivan
MLOps.community
Navigating the Complexities of MLOps and Cloud Platforms
This chapter delves into the challenges of transitioning from research to production environments for machine learning models, emphasizing the importance of understanding data engineering and collaboration in MLOps. It explores the speaker's journey into Google Cloud Platform (GCP) driven by frustrations with networking complexities on AWS and highlights the advantages of GCP's efficient tools like Kubernetes. The discussion also compares GCP and AWS in terms of services offered, focusing on the building blocks available in GCP and differences in specific services between the two platforms.
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