Dataset Enrichment Pipeline Using System Knowledge Data

The system performs automatic data enrichment by self-service mechanisms. The data pipeline automatically extracts data from enterprise software applications, transforms it using transformation layers, and loads it into data warehouses without requiring manual intervention. The system autonomously identifies relevant system knowledge data and integrates it with user datasets, eliminating the need for users to manually perform time-consuming data enrichment tasks.

The system performs preliminary data extraction and transformation actions before users need the enriched data. The data pipeline continuously extracts data from enterprise applications and pre-transforms it into usable formats, storing it in data warehouses ready for integration. This preliminary preparation ensures that when users need enriched datasets, the enrichment process has already been completed or is readily available.

The automatic data enrichment system is segmented into distinct modular components: data extraction modules that connect to specific enterprise applications, transformation layers that handle different data types, and loading mechanisms that integrate with various data warehouses. Each component operates independently and can be configured separately, allowing the complex automatic enrichment process to be managed through simple, isolated functional units.

The patent introduces intermediary components such as transformation layers and data pipelines that mediate between enterprise software applications and data warehouses. These intermediaries handle the complexity of data extraction, transformation, and loading processes, shielding users from the underlying system complexity while enabling automatic data enrichment. The intermediaries act as buffers that manage the complex operations transparently.