ELT stands for Extract, Load, Transform—it’s basically the modern twist on ETL (Extract, Transform, Load). The key difference? With ELT, you dump raw data into a target system (like a data warehouse) *first*, then transform it later.
ETL transforms data before loading, which can be slow. ELT is faster since modern systems (Snowflake, BigQuery) handle transformations efficiently.
If you’re working with cloud tools, ELT is everywhere. Check out dbt (data build tool)—it’s awesome for transformations post-load.
ETL transforms data before loading, which can be slow. ELT is faster since modern systems (Snowflake, BigQuery) handle transformations efficiently.
If you’re working with cloud tools, ELT is everywhere. Check out dbt (data build tool)—it’s awesome for transformations post-load.