Content-Based Dataset Lifecycle Management via Metadata Intermediary
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Solution Overview
Problem
Current data management systems struggle to efficiently manage the lifecycles of large datasets due to their reliance on data location rather than content, leading to challenges in scaling with increasing data volumes and complexities.
Innovation Solution
Implementing a dataset management system that uses metadata to create logical datasets based on content, allowing for content-based data protection and lifecycle management, independent of data location across disparate networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data management systems rely on data location rather than content, then data protection and lifecycle management can be implemented, but scalability deteriorates as data volumes increase to exabyte scales
Solution Approach 1:
The patent creates logical copies of data through metadata-based dataset definitions that reference physical data locations without duplicating the actual data. Multiple datasets can reference the same physical data through different metadata filters, enabling scalable content-based management without proportional increases in storage overhead
Solution Approach 2:
The patent introduces metadata and dataset definitions as intermediary layers between physical data storage and management operations. This intermediary layer enables content-based data protection and lifecycle management independent of physical location, resolving the contradiction between reliable data protection and system scalability
2Reliability
If lifecycle rules are made data-specific requiring knowledge of data location, creator, and retention period, then data protection compliance is improved, but management complexity increases for large-scale disparate networks
Solution Approach 1:
The patent copies data identification and classification information into metadata structures that can be queried and managed without requiring administrators to know physical data locations. Lifecycle rules are applied to logical dataset definitions rather than physical data, reducing management complexity while maintaining compliance
Solution Approach 2:
The patent uses metadata as an intermediary that captures data-specific information (content characteristics, classification, retention requirements) separate from physical location. This intermediary layer enables compliance management through content-based rules without requiring complex tracking of data physical whereabouts
3Ease of operation
If simple version numbers are applied to evolving data elements, then data tracking is simplified, but high-overhead management processes are required for large-scale disparate networks
Solution Approach 1:
The patent creates logical dataset copies that capture data evolution through metadata filters rather than requiring complex version control mechanisms. Dataset definitions can reference data across multiple versions and locations, simplifying tracking while reducing management overhead through unified logical views
Data Source
AI summary
Managing a lifecycle of data by identifying data objects that are subject to same control rules in each stage of the lifecycle as grouped data, where the control rules allow only authorized access to or authorized operations on the grouped data based on a current stage of the lifecycle. A dataset is generated for the grouped data by identifying metadata of the grouped data to be processed similarly within the lifecycle, and storing the metadata in the dataset. The control rules associated with the grouped data as stage tags for the dataset. Actions performed on the data referenced by the dataset are monitored to ensure that the monitored actions comply with control rules using the stage tags of the dataset.