Universal Delta Data Load via Change List Tables

The patent extracts only the changed data (delta data) from the source tables using change data capture mechanisms, rather than loading all data. This is achieved by identifying changes through triggers, logs, or change detection queries that extract only modified records since the last load, significantly reducing the data volume to be processed while maintaining data accuracy.

The patent segments the data loading process into incremental updates based on change detection. By dividing the data load into discrete change events (inserts, updates, deletes) that can be processed independently and sequentially, the system achieves frequent data freshness without the overhead of complete data reloads, thus reducing processing time while maintaining accuracy.

The patent implements a universal delta data load function that can handle multiple table types, file structures, and data sources through a single standardized interface. This is achieved by implementing configuration-driven data loading where table schemas, file formats, and source systems are defined through metadata configurations rather than hard-coded logic, allowing the same core function to adapt to different business requirements without increasing system complexity.

The patent uses parameter changes and configuration options to accommodate different table types and file structures. By making the data loading function parameterizable with schema definitions, format specifications, and source system configurations, the system achieves versatility through flexible parameter settings rather than through complex structural changes, thereby maintaining low system complexity while improving adaptability.