Extract, Transform, Load

Extract, Transform, Load (ETL) is a data warehousing process that entails extraction of data from different sources, its transformation into a structured format, and eventual loading into a final target database, data mart, or data warehouse. Coursera's ETL skill catalogue teaches you the intrinsic steps involved in gathering, transforming, and storing vast amounts of data to support business intelligence activities. You'll learn the essentials of ETL techniques, including data integration, data transformation, error handling, and data loading. This knowledge will optimise your ability to work with data warehouses, manage big data, develop data pipelines, and make data-driven decisions in various business contexts, such as data analyst, data engineer, and business intelligence professional roles.