ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

ETL, which stands for “extract, transform, load,” is a standard model that companies can use to integrate data from multiple sources into a single centralized data repository.

ETL, which stands for Extract, Transform, Load, 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 repository.