ETL vs. ELT: Why a post-load process wins every time

The ETL (Extract-Load-Transform) process has been largely replaced by ELT (Extract-Load-Transform), a post-load data transformation process, due to the cost and time savings offered by cloud data warehouses. One of the key advantages of ELT is that it allows for faster data transformation times, as well as perpetual access to raw data, which provides an auditable source of truth and reduces the need to re-source data. Additionally, ELT offers greater flexibility, enabling data analysts to create queries in real-time without requiring engineering resources, and automating data pipelines, resulting in a simpler, faster, and more affordable data pipeline process.

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