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Module 4: Staging Models Slides

Slide walkthrough for Module 4 of Production Analytics Engineering with dbt: Metrics, Semantic Layers & Lineage: Clean source data gently: rename, cast,...

This slide page is the visual review companion for the full course module. Use it to recap the architecture, examples, exercises, production warnings, and takeaways after reading the lesson.

Slide Outline

  1. Staging Models - Clean source data gently: rename, cast, standardize, and expose a stable base layer.
  2. Learning Objectives - 3 outcomes for this module
  3. Why This Module Matters - Staging models are the clean mirror of raw sources. They should make data easier to use without making heavy business de
  4. The Mental Model - Lesson section from the full module
  5. Tiny Example - Lesson section from the full module
  6. Interactive Check - Lesson section from the full module
  7. Inline Practice Lab - Lesson section from the full module
  8. Self-Check Quiz - Lesson section from the full module
  9. Real-World Use Cases - Reliable executive dashboards that do not disagree across teams, AI analytics agents that query governed metrics instead of guessing SQL
  10. Common Mistakes to Avoid - 3 mistakes covered
  11. Production Notes - 1 practical notes
  12. Inline Exercises - 1 inline exercise
  13. Key Takeaways - 3 points to remember

Learning Objectives

  • Build staging models that stay close to the source
  • Apply safe renaming and type casting
  • Avoid burying business logic too early

Why This Module Matters

Staging models are the clean mirror of raw sources. They should make data easier to use without making heavy business decisions.

Production Notes

  • Use one staging model per source table. It gives every raw table one official cleaned interface.

Common Mistakes

  • Joining multiple sources in staging
  • Adding metrics to staging models
  • Leaving cryptic source column names unchanged

Key Takeaways

  • Staging models are stable cleaned source interfaces
  • Keep business logic out of staging unless it is source-specific cleanup
  • Good staging makes every downstream model simpler

Inline Exercises

  1. Fix stg_orders

    Turn a messy raw_orders table into a clean staging model.

    30-45 minutes - Beginner

    • Rename id to order_id
    • Cast created_at to a timestamp
    • Standardize status values to lowercase
    • Keep source-level fields only
    • Write the model grain in one sentence

    Inline lab: complete the exercise directly in the course page.

Read the full module | Back to course curriculum