You want to create a fan-in model that merges data from two sources with overlapping columns but different naming conventions. How should you handle this in dbt?

hard🚀 Application Q9 of 15

dbt - Advanced Patterns

AJoin tables without renaming columns and rely on default column names

BUse <code>union all</code> without aligning column names

CUse <code>select</code> statements to rename columns to a common name before joining

DLoad only one source to avoid conflicts

Step-by-Step Solution

Solution:

Step 1: Identify column name conflicts
Overlapping columns with different names cause confusion when merging data.
Step 2: Rename columns to common names
Using select with aliases standardizes column names before joining or unioning.
Final Answer:
Use select statements to rename columns to a common name before joining -> Option C
Quick Check:
Rename columns to align schemas before merging [OK]

Quick Trick: Rename columns to match before merging sources [OK]

Common Mistakes:

MISTAKES

Joining without renaming causes ambiguous columns
Unioning without aligned columns causes errors
Ignoring one source to avoid conflicts

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You want to create a fan-in model that merges data from two sources with overlapping columns but different naming conventions. How should you handle this in dbt?

Step 1: Identify column name conflicts

Step 2: Rename columns to common names

Final Answer:

Quick Check:

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