ETL (Extract Transform Load)
ETL, Extract, Transform, Load, is a data pipeline process used to move data from source systems into a target destination such as a CRM or data warehouse. The Extract phase pulls raw data from one or more sources (a legacy CRM, a spreadsheet, or an external database). The Transform phase converts, cleans, and restructures the data to match the target system's format, data types, and business rules. The Load phase uploads the processed data into the target system in the correct sequence. ETL is the technical foundation of CRM data migrations, ongoing data synchronization pipelines, and data warehouse population. The reliability and scalability of ETL processes directly affect the quality and timeliness of data available in enterprise CRM systems.
ETL stands for extract, transform, load, the classic process for moving data between systems: extract it from the source, transform it into the target format, and load it into the destination such as a data warehouse. It is foundational to data integration and migration. Modern variants like ELT reorder the steps for cloud warehouses, but the core idea, prepare data so it is usable elsewhere, is the same.
Frequently Asked Questions
Extract, Transform, Load, the process of extracting data from a source, transforming it into the right format, and loading it into a destination.