Data Engineering
ETL vs ELT: What Works Best in Big Data Systems?
ETL vs ELT
The debate between ETL and ELT has evolved with the rise of powerful cloud data warehouses like Snowflake and BigQuery.
ETL (Extract, Transform, Load)
Traditionally used when storage and compute were expensive. Transformations happen before loading.
Pros:
- Compliance (PII masking before storage)
- Reduced storage costs
ELT (Extract, Load, Transform)
Modern approach leveraging the power of the destination warehouse.
Pros:
- Faster ingestion
- Flexibility to transform on demand