Describe the role of dbt in a modern analytics stack

Tests your grasp of modern ELT patterns. A good answer explains how dbt uses SQL for in-warehouse transformations, enabling software engineering practices like version control and testing. A red flag is confusing dbt with a full ETL tool or an orchestrator.
Tests your understanding of the modern ELT paradigm and the role of a dedicated transformation layer. A great answer explains dbt's focus on in-warehouse transformation using SQL, enabling software engineering practices like version control, testing, and CI/CD for analytics code. Contrast this with traditional ETL scripts (which bundle E, T, and L) and orchestrators like Airflow (which manage workflows, not define transformations). A red flag is conflating dbt with a full ETL tool or an orchestrator.
Read the original → docs.getdbt.com
- #dbt
- #elt
- #data modeling
- #analytics engineering
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