Universal Variables for Disparate Database Integration
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Solution Overview
Problem
Current database management systems face challenges in efficiently integrating and exchanging data across disparate systems, leading to inefficiencies in resource allocation, data management, and functional cohesion within enterprises.
Innovation Solution
The Global Data Exchange (GDE) system implements universal variables linked to database fields, enabling scalable monitoring and allocation of resources, facilitating data exchange, report generation, and integration across multiple database systems through a hierarchical schema and economical interface features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional database management systems are used for data exchange across disparate systems, then data integration complexity increases and resource allocation efficiency decreases, but system compatibility is maintained
Solution Approach 1:
The patent implements a universal data exchange format that can be applied across multiple disparate database systems (relational, hierarchical, flat model databases). This universal format serves as a common interface that enables data exchange between different database types without requiring system-specific integration logic, thereby reducing data integration complexity while improving resource allocation efficiency.
2Productivity
If multiple disparate database systems are integrated without a universal data format, then system flexibility is maintained, but data exchange efficiency and functional cohesion deteriorate
Solution Approach 1:
The patent introduces a universal data exchange format as an intermediary layer between disparate database systems. This format acts as a mediator that translates data from various database types into a common structure, enabling efficient data exchange while preserving the underlying flexibility of each individual database system. The intermediary format handles the complexity of integration without constraining the adaptability of source systems.
3Productivity
If traditional database interfaces are used for monitoring and allocation of computational resources, then implementation simplicity is maintained, but monitoring scalability and resource allocation efficiency worsen
Solution Approach 1:
The patent implements a universal data exchange format that enables a single monitoring system to efficiently monitor and allocate resources across multiple disparate database systems. The universal format provides a consistent interface for resource monitoring, allowing the system to scale without increasing complexity proportionally, as the same monitoring logic can be applied uniformly across different database types.
Data Source
AI summary
The APPARATUSES, METHODS AND SYSTEMS FOR A GLOBAL DATA EXCHANGE (hereinafter “GDE”) implement efficient and scalable monitoring, regulation, and allocation of computational processing, data, labor, and/or the like resources within an enterprise. In some embodiments, the GDE may provide a plurality of universal variables allocable to tables and/or fields across multiple, otherwise disparate database systems, facilitating integrability and exchange of data therebetween. In some implementations, the universal variables may be selectively chosen for broad applicability to a vast swath of enterprise data types and organizations, and may themselves be organized in accordance with a hierarchical schema facilitating business understanding and decision making. The GDE may further facilitate, in various implementations, report generation, data updating, and cohesion between different enterprise functions, systems, and applications through the use of universal variables and economical interface features.