Item Relationship Interface for Data Provenance Rule Enforcement
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Solution Overview
Problem
Conventional systems face difficulties in tracking and enforcing relationships between items such as datasets, applications, folders, and resources, leading to errors and labor-intensive policy enforcement due to complex data dependencies and violations in provenance.
Innovation Solution
A relationship interface is provided to define and visualize links between items, enforce rules associated with these links, and prevent violations by surfacing errors through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems track relationships between items manually, then data integrity can be maintained, but the system becomes labor-intensive and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically detecting and tracking relationships between items before policy violations occur. The relationship detection mechanism proactively identifies dependencies, provenance links, and associations between datasets, applications, and resources, establishing a foundation for automated policy enforcement that prevents rather than merely reacts to integrity issues.
Solution Approach 2:
The system enables self-service by autonomously detecting relationships between items without requiring manual intervention. The automated relationship detection and tracking mechanisms operate independently to maintain data integrity, allowing the system to serve itself in monitoring and enforcing policies across complex data ecosystems.
2Adaptability or versatility
If systems grow and more data is added, then system capability increases, but tracking relationships between items becomes increasingly difficult
Solution Approach 1:
The system applies universality by implementing a comprehensive relationship detection framework that handles multiple types of items (datasets, applications, resources, folders) and multiple relationship types (provenance, dependencies, associations) through a unified mechanism. This multi-functional approach allows the system to scale across diverse data types without proportionally increasing tracking complexity.
Solution Approach 2:
The system introduces an intermediary relationship detection and tracking layer that mediates between growing data volumes and the need for relationship management. This intermediary mechanism abstracts the complexity of tracking relationships across expanding systems, providing a standardized interface for monitoring connections between items regardless of system scale.
3Reliability
If manual enforcement of data policies is performed, then policy compliance can be achieved, but the process becomes labor-intensive
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor relationships between items and automatically enforce policies based on detected relationship changes. When relationships are detected or modified, the system provides feedback loops that trigger automated policy validation and enforcement actions, maintaining compliance without manual intervention and significantly improving enforcement efficiency.
Solution Approach 2:
The system enables self-service in policy enforcement by autonomously detecting relationship violations and applying corrective actions without human intervention. The automated mechanisms monitor compliance across the system, identify violations based on detected relationships, and enforce policies independently, freeing personnel from labor-intensive manual enforcement tasks.
Data Source
AI summary
Systems and methods are provided for tracking and enforcing relationships between items. A relationship interface may be provided that conveys the relationship (or link) between items, and through which a user may define the link between two or more items. Identifying a link between two items may establish a set of one or more rules to be enforced with respect to the use of one or both of the items (e.g., when the items are stored, when the items are used to create other items, when other items are associated with the items). In various embodiments, violations of one or more rules may be identified and provided via the user interface. In some embodiments, new items that conflict with one or more rules may be prevented from being committed.