Matrix Graph Data Transformation for Platform Compatibility
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Solution Overview
Problem
Data interchange across organizations often requires data transformation due to differences in data formats, necessitating an optimized system for platform-independent data transformation.
Innovation Solution
A system comprising a data transformation module that generates a matrix graph to map source fields to target fields, transforming input data from a first format to a second format compatible with the target application, using a processing device and computer-readable program code stored on a memory device, allowing for real-time dynamic graph generation and deletion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods like DOM trees are used for data transformation, then data format compatibility is achieved, but memory usage and processing cycles increase
Solution Approach 1:
The patent extracts only the essential mapping relationships between data fields into a matrix graph structure, removing unnecessary overhead of conventional DOM tree structures. The matrix graph stores only the critical field mappings and transformation rules needed for data format conversion, significantly reducing memory consumption while maintaining transformation capability.
Solution Approach 2:
The patent creates a simplified copy of the data transformation logic in the form of a matrix graph, which is a lightweight in-memory representation compared to full DOM trees. This copied structure contains only the essential transformation metadata, enabling efficient data format conversion without the memory burden of complete document object models.
2Reliability
If conventional methods like DOM trees are used for data transformation, then data format compatibility is achieved, but processing cycles increase
Solution Approach 1:
The patent segments the data transformation process into distinct phases: matrix graph generation, validation, and execution. The matrix graph pre-computes and stores field mappings in a structured format, allowing the transformation engine to quickly retrieve and apply mappings without re-parsing entire document structures, thereby reducing processing cycles.
Solution Approach 2:
The patent performs preliminary action by generating and validating the matrix graph before actual data transformation occurs. The matrix graph pre-establishes all field mappings, data type conversions, and validation rules, so that during runtime, the system only needs to apply pre-computed transformations rather than analyzing entire data structures, significantly reducing processing time.
3Manufacturing precision
If platform-specific transformation methods are used, then transformation accuracy is improved, but adaptability across heterogeneous applications decreases
Solution Approach 1:
The patent implements a universal matrix graph structure that can represent data field mappings across any platform or application. The matrix graph uses platform-agnostic data structures and transformation rules, enabling the same transformation engine to handle heterogeneous data formats from different applications without requiring platform-specific implementations, thus achieving both accuracy and adaptability.
Data Source
AI summary
A system, computer program product, and computer-implemented method are provided for platform-independent data transformation. A data transformation module is provided, the data transformation module being configured to receive input data from a source application having a first data format, the input data to be transferred to a target application having a second data format, wherein the first data format and the second data format are different data formats; generate a matrix graph, using the data transformation module, to map one or more source fields from the source application to one or more target fields from the target application; based on the matrix graph, transform the input data from the first data format to generate output data in a second data format, wherein the output data is compatible with the target application; and transfer the output data to the target application.