Vendor Data Cache TTL Control for Multi-Source Access
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Solution Overview
Problem
Large organizations face inefficiencies in managing and leveraging vendor data due to diverse data formats and formats across business units, leading to storage challenges and suboptimal utilization of vendor-provided information.
Innovation Solution
Implementing an intelligent database caching system with configurable time-to-live (TTL) values and machine learning to optimize data staleness based on use cases, reducing the need for real-time data retrieval and minimizing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vendor data is stored and operated across multiple applications on various computing devices, then data accessibility is improved, but storage space requirements and system complexity increase
Solution Approach 1:
The patent implements a universal data cache that serves multiple business units and applications simultaneously. The cache system provides a common data access layer that can be utilized by diverse computing systems, programs, and devices across the organization, eliminating the need for each unit to maintain separate data storage and processing capabilities.
Solution Approach 2:
The data cache acts as an intermediary between vendor data sources and various business unit applications. This intermediate layer manages data storage, retrieval, and distribution centrally, reducing the complexity burden on individual computing devices while maintaining broad data accessibility across the organization.
2Adaptability or versatility
If centralized administrative department handles vendor data, then data management control is improved, but data processing speed and responsiveness decrease
Solution Approach 1:
The system pre-loads and caches vendor data in advance before it is actually needed by business units. By maintaining a ready supply of cached data, the system eliminates the delay that would occur if data had to be retrieved from central administrative systems in real-time, thus improving processing speed while maintaining centralized management.
Solution Approach 2:
The patent divides data management into two segments: centralized control for data ingestion and management by the administrative department, and distributed access through local caches at various computing devices. This segmentation allows centralized policies to be enforced while enabling fast local data retrieval without requiring continuous central system involvement.
3Adaptability or versatility
If diverse data formats from various vendors are maintained, then vendor data compatibility is improved, but data standardization and processing efficiency decrease
Solution Approach 1:
The data cache system implements local quality adaptation by maintaining vendor-specific data format handling at the cache level while presenting standardized data to business unit applications. Each cache instance can be configured to handle specific vendor formats locally, converting them to standardized internal representations, thus maintaining compatibility without requiring all systems to process all formats.
Data Source
AI summary
An electronic online system is configured to receive, at the electronic online system, an expression of a use case; determine, using a machine-learning technique with the expression of the use case as input, a data source and a time-to-live (TTL) value to satisfy the use case; and configure a data cache to store data received from the data source with the TTL value.