Unified Information Collection Framework for Heterogeneous Storage
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Solution Overview
Problem
Data Stewards face challenges in managing information collections across heterogeneous systems, as there is no single tool to record and manage information collections comprehensively, leading to a fragmented and inconsistent approach.
Innovation Solution
A framework is provided that defines a mapping between an information collection data model, an information source data model, and an information storage services data model, allowing users to view and operate on information collections without knowledge of storage sources, enabling a homogeneous view and consistent management across multiple systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple specialized tools are used to manage different aspects of information collections, then each tool can serve its specific purpose adequately, but the overall system becomes fragmented and complex with no single tool providing comprehensive management
Solution Approach 1:
The framework provides a single unified tool that performs multiple functions previously requiring separate specialized tools. It enables comprehensive management of information collections including quality assessment, availability monitoring, accuracy verification, and timeliness tracking, all within one integrated platform that serves diverse data management needs
2Ease of operation
If Data Stewards use multiple specialized tools to manage information collections, then specific management tasks can be performed, but Data Stewards cannot maintain a business focus and become distracted by tool limitations
Solution Approach 1:
The framework acts as an intermediary layer between business information needs and technical implementation details. It provides business-focused interfaces and abstractions that hide the underlying complexity of heterogeneous storage sources, allowing Data Stewards to manage information collections at the business level without being distracted by technical complexities of multiple specialized tools
3Adaptability or versatility
If information is stored in heterogeneous systems with different data models, then flexibility and adaptability are achieved, but a homogeneous view and consistent management across all systems becomes difficult
Solution Approach 1:
The framework introduces an intermediary information collection data model that mediates between heterogeneous storage source data models and business information needs. This intermediate layer translates and reconciles different data representations, providing a consistent homogeneous view of information collections while preserving the flexibility to access underlying heterogeneous systems through standardized interfaces
Data Source
AI summary
A method, apparatus and computer program product, for generating a framework for supporting a homogeneous view of an information collection managed in a heterogeneous system of information storage sources. The framework includes an information collection data model mapped to an information source data model, and an information storage services data model mapped to the information source data model. The information collection data model defines information to be collected and stored as an information collection in one or more information storage sources. The information source data model references data sets containing the information defined in the information collection data model. The information storage services data model defines information storage services for accessing and performing operations on the one or more information storage sources storing the information collection. The framework allows a user to view and perform operations on the information collection without knowing how the information collection is stored.