Full Load
Full Load is a data integration concept where all data from a source system is extracted and loaded into a target system in a single batch operation, typically replacing any existing data. It is commonly used in data warehousing, ETL (Extract, Transform, Load) processes, and database migrations to initialize or refresh datasets. This approach ensures a complete and consistent snapshot of the source data at a specific point in time.
Developers should use Full Load when initializing a data warehouse, performing one-time data migrations, or refreshing entire datasets where incremental updates are impractical or unnecessary. It is ideal for scenarios requiring a fresh start, such as after schema changes, or when source data is small and can be processed quickly without performance issues.