ETL

ETL, which stands for extract, transform, load, is a data integration process that involves extracting data from various source systems, transforming it into a suitable format or structure for storage and analysis, and then loading it into a target database or data warehouse. The transformation step might include filtering, aggregating, de-duping, and/or enriching the data to match the target data structure.

Today, efficient ETL processes are essential for consolidating data from different sources. Many organizations use different systems that don't naturally communicate with each other (like legacy EDI systems, cloud services, and modern applications). ETL bridges these gaps by moving and standardizing data between them, making it ready for reporting, analysis, and decision-making.

Altova MapForce is a powerful - yet affordable - ETL tool that supports all major data formats and databases. A selection of ETL articles on the Altova blog includes:


Posts categorized: etl