ETL

ETL stands for Extract, Transform, and Load. It is a process of extracting data from various sources, transforming it into a format that can be easily analyzed, and loading it into a target database or data warehouse. The ETL process is a critical component of data integration and is used to consolidate data from multiple sources into a single, unified view. The extract phase involves retrieving data from various sources, such as databases, files, and APIs. The transform phase involves cleaning, filtering, and structuring the data to make it consistent and usable. The load phase involves inserting the transformed data into a target database or data warehouse. ETL is a complex process that requires expertise in data modeling, database design, and programming. It is used in various industries, including finance, healthcare, and retail, to support business intelligence, analytics, and reporting.
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