What is ETL? (Extract, transform, load)

ETL, which stands for Extract, Transform, Load, is a data management process that involves extracting raw data from various sources, transforming it to ensure consistency and usability, and then loading it into a data warehouse or other storage solutions for analysis. This process is crucial for maintaining data quality and relevance, especially when transitioning from legacy systems to modern cloud warehouses. ETL processes can be automated using tools like Fivetran, Airbyte, Coalesce, and Zapier, which simplify data handling and integration. ETL is distinct from ELT, where data is first loaded into the storage system before transformation, making it suitable for large quantities of unstructured data in cloud environments. The choice between ETL and ELT depends on factors such as data volume, complexity, and industry-specific requirements. Automation of these processes can enhance efficiency, allowing organizations to focus on deriving insights and value from their data.