ETL
Understand Extract, Transform, Load (ETL) processes: how they move and transform data between systems, and their crucial role in modern data management.
Gray Levine
Extract, Transform, Load (ETL) is a data integration process that combines data from multiple sources into a single, consistent data store. This three-step process forms the backbone of data warehousing and plays a crucial role in business intelligence and analytics operations.
The first phase involves collecting data from various source systems, which may include:
During transformation, raw data is converted into a consistent format through:
The final stage involves inserting the transformed data into the target system, typically:
Today's ETL solutions incorporate advanced features such as: