[Solved] Which dbt feature is most useful when implementing a multi-source fan-in pattern? - Ans: Using the ref() function to reference multiple source models | dbt

dbt - Advanced Patterns

Which dbt feature is most useful when implementing a multi-source fan-in pattern?

AUsing <code>snapshot()</code> to capture data changes over time

BUsing the <code>ref()</code> function to reference multiple source models

CUsing <code>seed()</code> to load static CSV files

DUsing <code>exposures</code> to track downstream usage

Step-by-Step Solution

Solution:

Step 1: Identify key dbt features for combining sources
The ref() function lets you reference other models, essential for combining multiple sources.
Step 2: Match feature to fan-in pattern
Since fan-in merges data from multiple models, ref() is the correct choice.
Final Answer:
Using the ref() function to reference multiple source models -> Option B
Quick Check:
Fan-in needs ref() to combine models [OK]

Quick Trick: ref() links models for combining data [OK]

Common Mistakes:

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