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A team compares hand-orchestrated notebooks with declarative pipelines for a supported data transformation workflow. Which factors should guide the choice?
Published
- Assume all pipeline styles have identical state and recovery semantics
- Always choose the approach with the fewest visible screens
- Data dependencies, quality controls, incremental behavior, operational needs, and maintainability
- Remove error handling when using declarative syntax
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