ETL

ETL stands for Extract, Transform, Load. It involves pulling data from multiple source systems, applying transformations such as cleansing, normalization, and aggregation, and loading the resulting data into a target repository like a data warehouse or data lake. This process enables centralized analytics by providing cleaned, consistent data in a defined schema. ETL often includes scheduling, monitoring, and error handling to ensure reliability and data quality.