The Workflow Mechanics: Clearly defining the order of operations. ETL performs the transformation in a dedicated processing engine before moving data to the destination, while ELT loads raw data directly into the target system and relies on that system’s compute power to transform it.
Infrastructure Context: Explaining that ETL is traditionally used with legacy, on-premise data warehouses that have limited storage and compute, whereas ELT has become the standard for modern cloud data warehouses (like BigQuery, Snowflake, or Redshift) that scale compute and storage separately
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