Describe dbt's role in a modern analytics stack
Tests your grasp of the ELT paradigm and applying software engineering principles to data. A good answer defines dbt as the 'T' in ELT, contrasts its in-warehouse SQL approach with traditional ETL, and clarifies its relationship with orchestrators like…
This question tests your understanding of the modern data stack's ELT paradigm and the application of software engineering principles to analytics. A strong answer explains that dbt handles the 'transform' step within the data warehouse, enabling analysts to work like engineers with SQL. You should contrast this with traditional ETL scripts that transform data in-flight and clarify that dbt defines the data graph while orchestrators like Airflow execute it. A common red flag is mischaracterizing dbt as a traditional ETL tool.
Read the original → docs.getdbt.com
- #dbt
- #elt
- #analytics engineering
- #data stack
- #airflow
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