ETL versus ELT in cloud data platforms
WHAT IT TESTS: data pipeline pattern fluency. OUTLINE: ETL transforms before loading into the target; ELT loads raw first then transforms in the warehouse, leveraging cheap storage and elastic compute.
WHAT IT TESTS: whether you understand where transformation happens and why ELT suits cloud warehouses. ANSWER OUTLINE: ETL transforms data in a separate processing layer before loading into the target, common when targets were rigid and compute scarce; ELT loads raw data into a scalable cloud warehouse or lake first, then transforms in place using its elastic compute and SQL. ELT advantages: cheaper raw storage, faster ingestion, flexibility to re-transform raw data later, and using the warehouse's power.
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- #cloud
- #etl
- #elt
- #data-engineering
- #data-pipeline
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