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What is ETL? 

ETL stands for Extract, Transform, and Load of data. ETL is a process whereby a standalone compute engine, such as Spark, reads data from various data sources (operational databases, message queues, files), transforms the data into a standardized format suitable for analysis/ML, before storing the clean/formatted data to a target data warehouse or lakehouse.

Where is ETL important in ML systems?

ETL is a pattern often found in feature pipelines that extracts data from existing data stores, transforms the raw data into features and then loads those features into a feature store.

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