Cross-Referencing Data in Enterprise Data Warehouses
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Solution Overview
Problem
Current data warehouse management systems face challenges in effectively defining and managing data relationships across diverse sources, often requiring manual processes and lacking efficient automated solutions for cross-referencing data within a centralized enterprise data warehouse.
Innovation Solution
A method and system for cross-referencing data that involves user interaction through a Graphical User Interface (GUI) to link and manage relationships between database elements, utilizing metadata to uniquely identify elements and create cross-references in a master table, allowing for the addition of new attributes and properties, and enabling visualization of data relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used to define and manage data relationships, then data integrity can be maintained, but productivity and efficiency deteriorate due to time-consuming manual operations
Solution Approach 1:
The system enables self-service by allowing users to automatically define and manage data relationships through the graphical interface. Users can select source tables, target tables, and relationship types without manual configuration of complex mapping rules. The system automatically generates cross-reference tables and maintains data integrity through automated constraint enforcement, eliminating the need for manual process intervention while maintaining reliability.
Solution Approach 2:
The patent replaces manual mechanical processes with automated computer-based systems. The graphical user interface substitutes manual data entry and configuration with automated selection and processing. The system automatically generates cross-reference tables, enforces relationships, and maintains data integrity through programmatic constraint enforcement rather than manual administrative processes.
2Productivity
If automated solutions are implemented for cross-referencing data, then productivity improves, but device complexity increases due to additional system components and metadata management
Solution Approach 1:
The system segments the data warehouse into distinct source tables, target tables, and cross-reference tables. Each table has a specific function: source tables store original data, target tables store consolidated data, and cross-reference tables store relationship metadata. This segmentation allows the automated system to manage complexity by processing one table relationship at a time through the graphical interface, making the overall system more manageable despite the increased number of tables.
Solution Approach 2:
The cross-reference tables serve as intermediaries between source tables and target tables. These intermediary tables store metadata about data relationships and act as a buffer that simplifies the interaction between the automated system and the data warehouse. The graphical interface interacts with these intermediary tables to define relationships, reducing the complexity of direct interactions with the full data warehouse structure.
3Adaptability or versatility
If diverse data sources are consolidated into a central enterprise data warehouse, then data integration improves, but difficulty of detecting and measuring data relationships increases
Solution Approach 1:
The graphical user interface uses visual distinctions including color coding to represent different types of data sources, target tables, and relationship types. Related tables are highlighted or grouped together visually, making it easier to detect and measure data relationships. The interface provides visual feedback when users select related tables, automatically highlighting connections and displaying relationship metadata in a visually intuitive manner that reduces the difficulty of relationship detection.
Data Source
AI summary
Techniques for cross referencing data are presented. A first database object and a second database object are linked together. The linkage is automatically cross referenced to a third database object. Access to any of the database objects can be achieved via any of the remaining database objects and vice versa. Additionally, the link and cross reference can be visualized and visually manipulated and modified.