ETL stands for Extract, Transform, Load, a core data engineering process used to consolidate data from multiple sources. Data is first extracted from systems such as databases, applications, or APIs. It is then transformed to meet organizational requirements—cleaned, formatted, or aggregated—and finally loaded into a target database or warehouse for analysis. ETL pipelines power business intelligence, reporting, and advanced analytics at scale.
Glossary · E
Extract, Transform, Load (ETL)
A data integration process that extracts data from sources, transforms it to fit operational needs, and loads it into a target database.
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