MLOps and DevOps: Why Data Makes It Different
O'Reilly on Data
OCTOBER 19, 2021
Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. The iteration cycles should be measured in hours or days, not in months.
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