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What is the main reason incremental models save time and cost in dbt?

easy📝 Conceptual Q11 of 15
dbt - Incremental Models
What is the main reason incremental models save time and cost in dbt?
AThey skip data validation steps to speed up execution.
BThey run all transformations in parallel automatically.
CThey use less memory by compressing data during processing.
DThey process only new or changed data instead of the entire dataset.
Step-by-Step Solution
Solution:

  1. Step 1: Understand incremental model behavior

    Incremental models update only the new or changed data instead of reprocessing everything.

  2. Step 2: Connect behavior to time and cost savings

    Processing less data means less compute time and lower cloud costs.

  3. Final Answer:

    They process only new or changed data instead of the entire dataset. -> Option D

  4. Quick Check:

    Incremental = process new data only [OK]
Quick Trick: Incremental means update only new or changed data [OK]
Common Mistakes:
MISTAKES
  • Thinking incremental models reprocess all data
  • Confusing incremental with parallel processing
  • Assuming incremental skips validation

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