ETL (Extract, Transform, Load)

ETL is the process of extracting data from sources, transforming it into a consistent and useful format, and loading it into a destination such as a database or data warehouse. It helps organizations combine information from different systems, handle changes in structure, and prepare data for analysis or downstream applications. ETL workflows can run in batches or continuously, depending on how quickly updated data is needed.

Open source ETL tools include libraries for writing data transformations, connectors for moving data between systems, and platforms for scheduling and monitoring pipelines. When choosing a tool, consider supported sources and destinations, transformation needs, reliability, documentation, maintenance activity, license, and infrastructure requirements. These tools are useful for data engineers, analysts, and developers who need repeatable ways to move and prepare data.