Extract-Transform-Load (ETL) is a data integration process that involves extracting data from various source systems, transforming it into a consistent and usable format, and loading it into a target data warehouse or other data storage system. ETL is commonly used to consolidate data from disparate sources, cleanse and standardize data, and prepare it for analysis and reporting. It is a critical component of data warehousing and business intelligence solutions.
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