IBM Documentation: "What is ELT?" Section: Key Differences. Highlights that ELT utilizes the processing power of the target data warehouse to perform data cleaning and transformation. Reference Link
Microsoft Azure Data Factory Documentation: Transform data in Azure Data Factory. Section on ELT explains that data is moved to the target and then transformed using the target's compute resources (e.g., Azure Synapse Analytics). Reference Link
Google Cloud Architecture Framework: Data processing and integration. Discusses how ELT shifts the transformation load to the data warehouse, necessitating a highly performant target system. Reference Link
Vassiliadis, P. (2009). A Survey of Extract-Transform-Load Technology. International Journal of Data Warehousing and Mining. DOI: 10.4018/jdwm.2009070101. Contrast between ETL engines and ELT database-centric processing.