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ETL is a process that extracts the data from different source systems, then transforms the data (like applying calculations, concatenations, etc.) and finally loads the data into the Data Warehouse system.
The full form of ETL is Extract, Transform and Load.
The process of extracting data from source systems and bringing it into the data warehouse is commonly called ETL, which stands for extraction, transformation, and loading. Note that ETL refers to a broad process, and not three well-defined steps. ... Nevertheless, the entire process is known as ETL.
Modern technology has changed most organizations’ approach to ETL, for several reasons.
The biggest is the advent of powerful analytics warehouses like Amazon Redshift and Google BigQuery. These newer cloud-based analytics databases have the horsepower to perform transformations in place rather than requiring a special staging area.
Click for more on Amazon Redshift
https://www.stitchdata.com/etldatabase/etl-process/
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