ELT meaning is basically Extract, Load, Transform—it’s a data process where you pull data from sources, dump it into a system (like a data warehouse), *then* transform it.
Unlike ETL, where you transform before loading, ELT is faster for huge datasets since modern tools (Snowflake, BigQuery) handle transformations after loading.
Example: Pulling raw sales data into a warehouse, then cleaning it later. Tools like Fivetran or Stitch are great for ELT.
Unlike ETL, where you transform before loading, ELT is faster for huge datasets since modern tools (Snowflake, BigQuery) handle transformations after loading.
Example: Pulling raw sales data into a warehouse, then cleaning it later. Tools like Fivetran or Stitch are great for ELT.
