Multi-Directional DAG Connection for Dashboarding Tools

The system segments the DAG connection architecture into internal DAGs (within the dashboarding tool) and external DAGs (in external data engineering tools), with explicit connection points that allow selective integration. This segmentation enables data lineage maintenance without requiring complete system complexity management, as only the connection interfaces need to be managed between internal and external DAGs.

The patent introduces connection points as intermediary elements that mediate between internal and external DAGs. These connection points serve as standardized interfaces that handle data flow and lineage tracking without exposing the internal complexity of either DAG system, thereby enabling adaptability while containing complexity at the interface level.

The system performs preliminary actions by executing computational queries during batch processing cycles rather than waiting for runtime requests. Data transformations and aggregations are performed in advance when data becomes available, so that when users access the data, the results are already prepared, improving response speed without sacrificing computational efficiency.

The patent implements periodic batch processing cycles that execute queries at scheduled intervals rather than continuously or only on demand. This periodic execution pattern allows the system to balance computational efficiency by processing data in batches during off-peak times while maintaining fast response times during operational periods, as the work is already completed when needed.

By performing data transformations in advance during batch processing, the system prepares processed data in advance. When users need access to the data, it is already transformed and ready, eliminating the need to wait for runtime transformation. This preliminary action resolves the contradiction by decoupling the transformation time (batch mode efficiency) from the accessibility time (immediate availability).

The system creates copies of transformed data during batch processing that can be served immediately during runtime. Instead of performing transformations repeatedly for each access request, the system pre-computes and stores copies of the transformed data, allowing fast access without repeating the computationally intensive batch processing operations on each request.