The ETL (extract, transform, load) process involves extracting data from various sources, transforming it to meet business requirements, and then loading it into a target system. The first step is Extraction, where data is extracted from different sources like databases, files, or web services. This is followed by the Transformation step, where the extracted data is cleaned, filtered, and transformed into a consistent format. This includes data validation, merging, or splitting of fields, and applying business rules or calculations. Lastly, the transformed data is loaded into a target system, such as a data warehouse or a database, making it accessible for analysis or reporting purposes. Overall, the ETL process ensures data consistency, quality, and integration across systems.
This mind map was published on 5 January 2024 and has been viewed 84 times.