Declarative Signal Propagation for Adaptive Data Filtering and Replication

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Solution Overview

Problem

Traditional data management systems require complex procedural programming, leading to inefficiencies, errors, and a lack of integration, making it difficult to adapt to evolving data requirements or integrate new data sources and destinations.

Innovation Solution

A Declarative Compute Framework (DCF) that simplifies data filtering, control, and replication by allowing users to specify desired outcomes through declarative templates, automating and streamlining operations, and integrating data replication and analysis for real-time insights.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional procedural programming is used for data management, then data handling can be performed, but system complexity and error potential increase significantly

Engineering Contradiction:

Improveerror reductionVSAvoidprogramming complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent replaces traditional procedural programming mechanisms with a declarative configuration system. Instead of using complex procedural code to manage data operations, the system uses declarative templates that specify desired outcomes without detailing implementation steps. This substitution reduces programming complexity and error potential while maintaining full data management functionality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the fundamental parameter of system configuration from procedural instructions to declarative specifications. By transforming the nature of how data management operations are defined (from step-by-step procedures to outcome-based declarations), the system achieves reduced complexity and improved reliability without sacrificing functional capability.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If traditional data management systems are used, then data processing can be performed, but adaptability to evolving requirements is limited

Engineering Contradiction:

Improveadaptability to changing requirementsVSAvoidsystem rigidity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces dynamic adaptability through declarative templates that can be easily modified to reflect changing data requirements. The system transitions from rigid procedural configurations to flexible declarative specifications, allowing rapid adaptation to new requirements without system redesign. The template-based approach enables dynamic adjustment of data filtering, control, and replication rules.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent creates a universal data management framework where declarative templates serve multiple functions across different data sources and destinations. The same template mechanism handles diverse operations including filtering, control, and replication, making the system highly adaptable to varying requirements while maintaining a unified, flexible architecture.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If traditional separated data management and analysis processes are used, then individual functions can be performed, but integration and operational efficiency are reduced

Engineering Contradiction:

Improveoperational efficiencyVSAvoidprocess integration

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent merges previously separate data management and analysis processes into a unified declarative framework. By combining filtering, control, replication, and analysis operations under a single template-based system, the patent eliminates integration overhead and improves operational efficiency while reducing the complexity of managing multiple separate processes.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a multi-functional declarative template system that handles both data management and analysis operations within a single framework. This universal approach allows the system to perform multiple functions (filtering, control, replication, analysis) through integrated templates, thereby improving productivity while managing complexity through a unified interface.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260030258A1Declarative computer framework signal propagation

Publication Date: 2026.01.29 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

A computer-implemented method for managing data in a computing environment. In one aspect, a method includes receiving a declarative input that indicates an outcome for data handling, identifying, from the declarative input, a predefined data filter configuration and a predefined data propagation configuration, filtering incoming data according to the predefined data filter configuration to generate filtered data, and replicating the filtered data to a data storage according to the predefined data propagation configuration.