You want to create a data product in dbt that combines sales and customer data from different domains. Which approach aligns best with data mesh patterns?

hard🚀 Application Q8 of 15

dbt - Governance and Collaboration

ACentralize all data in one model ignoring domains

BCreate a new dbt model in a shared domain referencing both domain models

CMerge raw data files outside dbt before loading

DDuplicate sales data into customer domain models

Step-by-Step Solution

Solution:

Step 1: Understand data mesh domain ownership
Each domain owns its data; combining should respect domain boundaries.
Step 2: Use dbt to create shared models
A shared domain model can reference domain models to create combined data products.
Final Answer:
Create a new dbt model in a shared domain referencing both domain models -> Option B
Quick Check:
Combine domains via shared models [OK]

Quick Trick: Use shared domain models to combine domain data [OK]

Common Mistakes:

MISTAKES

Merging raw data outside dbt breaks mesh principles
Centralizing ignores domain ownership
Duplicating data causes inconsistency

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You want to create a data product in dbt that combines sales and customer data from different domains. Which approach aligns best with data mesh patterns?

Step 1: Understand data mesh domain ownership

Step 2: Use dbt to create shared models

Final Answer:

Quick Check:

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