Metadata Dependency Validation for Cross-Environment Transfers

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The challenge of efficiently transferring metadata and related data between different environments in application development, while managing computational resources and avoiding errors due to changing dependencies, is not adequately addressed by existing technologies.

Innovation Solution

A data processing system that creates a version tag with specified metadata entities, automatically identifies related entities, and performs validation before transferring them to a target environment, ensuring compatibility and reducing errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If all metadata entities are transferred together between environments, then completeness of metadata transfer is improved, but computational resource consumption increases and errors due to changing dependencies occur

Engineering Contradiction:

Improvecompleteness of metadata transferVSAvoidcomputational resource consumption

Core Design Contradiction:

Manufacturing precisionVSLoss of energy

Solution Approach 1:

The patent segments the metadata transfer process into individual entity transfers rather than transferring all entities together. The system identifies and transfers specific metadata entities based on selection criteria, allowing partial transfers that reduce computational resource consumption while maintaining completeness of required metadata through iterative transfers across multiple transactions.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary identification of related metadata entities before transfer. By using schemas to pre-identify relationships among metadata entities, the system can select which entities to transfer in advance, avoiding the need to transfer all entities and reducing computational resource consumption while ensuring completeness of required entities.

Inventive Principle:

Principle #10Preliminary action

2Loss of energy

If metadata entities are transferred piecemeal between environments, then computational resource consumption is reduced, but accuracy and completeness of metadata transfer deteriorate due to missing dependencies

Engineering Contradiction:

Improvecomputational resource consumptionVSAvoidaccuracy and completeness of metadata transfer

Core Design Contradiction:

Loss of energyVSManufacturing precision

Solution Approach 1:

The system uses schemas to establish feedback mechanisms that track relationships among metadata entities. When entities are transferred piecemeal, the schema-based dependency tracking ensures that related entities are identified and transferred subsequently, maintaining accuracy and completeness without requiring all entities to be transferred simultaneously.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary identification of related metadata entities using schemas before each transfer operation. This allows the system to select appropriate entities for transfer based on identified relationships, ensuring completeness and accuracy while enabling piecemeal transfers that conserve computational resources.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If validation rules are applied to all metadata entities, then quality of transferred metadata is improved, but processing time increases

Engineering Contradiction:

Improvequality of transferred metadataVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The validation process is segmented to apply rules only to selected metadata entities rather than all entities. The system identifies which entities require validation based on transfer criteria and applies validation rules selectively, maintaining quality of transferred metadata while reducing processing time by avoiding redundant validation of non-transferred entities.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250278391A1Controlling quality of dynamically identified metadata transferred among environments

Publication Date: 2025.09.04 AB INITIO TECHNOLOGY LLC

AI summary

A method for delivering a dynamically identified set of related metadata of a specified quality to a target environment for metadata-driven processing of data includes, in a source environment, dynamically identifying a related set of metadata including given metadata and metadata related to the given metadata, processing identified metadata corresponding to the related set of metadata with one or more quality rules to determine whether the identified metadata has a specified quality, and in accordance with the identified metadata having the specified quality, making the identified metadata available for metadata-driven processing of data in the target environment.