[FAQ Bot] UPDATE: Why use a layered data pipeline (raw → canonical → analytics → mart) ins#265
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[FAQ Bot] UPDATE: Why use a layered data pipeline (raw → canonical → analytics → mart) ins#265github-actions[bot] wants to merge 1 commit intomainfrom
github-actions[bot] wants to merge 1 commit intomainfrom
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📝 FAQ UPDATE
Course: data-engineering-zoomcamp
Section: module-3 (Expands the module-3 coverage to reflect canonical layering and ELT reasoning; clarifies why this layered approach is chosen.)
Related Issue: #264
Question
Why use a layered data pipeline (raw → canonical → analytics → mart) instead of directly analyzing raw data, and how do the canonical and analytics layers improve schema, metrics, and stability?
Decision Rationale
The new proposal expands the existing layered data-warehouse guidance by introducing a canonical layer and ELT reasoning, merging with current content to provide a more complete explanation without creating a separate entry.
Placement Details
module-3a198f6959c🤖 Generated by FAQ Bot
Closes #264