Explain the difference between ETL and ELT?

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ETL is Extract, Transform, Load where data is extracted, transformed, and loaded into a data warehouse. ELT is Extract, Load, Transform where data is extracted, loaded into a data warehouse, and then transformed.

ETL involves extracting data from source systems, transforming it according to business rules, and loading it into a data warehouse.
ELT involves extracting data from source systems, loading it into a data warehouse, and then transforming it as needed.
ETL is suitable for scenarios where data needs to be transformed before loading into the warehouse.
ELT is suitable for scenarios where raw data needs to be stored first and then transformed as required.
Example of ETL tools: Informatica, Talend, SSIS.
Example of ELT tools: Amazon Redshift, Google BigQuery.

Explain the difference between ETL and ELT?

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