Differences between ETL and ELT, and when to choose each
WHAT IT TESTS: Pipeline architecture tradeoffs. ANSWER OUTLINE: ETL transforms before loading for structured data; ELT loads raw first and transforms in the warehouse for scale. RED FLAG: Calling one better without citing volume, structure, or compute.
WHAT IT TESTS: This probes your understanding of data pipeline tradeoffs between strict upfront schemas and flexible cloud warehousing. ANSWER OUTLINE: ETL transforms data on a secondary server before loading, making it ideal for structured legacy databases with strict compliance and predefined business rules. ELT loads raw data directly into a warehouse or lake and transforms it there later, supporting unstructured sources, massive scale, and repeated ad-hoc analysis.
Read the original → aws.amazon.com
- #data engineering
- #etl
- #elt
- #analytics
- #data pipelines
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