Data Serialization Mapping System for Cross-Platform Transformation
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Solution Overview
Problem
Current data-serialization technologies face challenges in efficiently mapping and transforming structured data between different systems and programming languages, leading to inconsistencies and inefficiencies in data interchange.
Innovation Solution
A system that generates mapping expressions and executable code to transform source payloads into destination payloads by associating source data-serialization elements with destination data-serialization elements, using a graphical user interface to visually display and validate mapping associations, and an integration server to perform transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual mapping methods are used to map data-serialization elements between source and destination, then flexibility in handling different serialization formats is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by automatically generating mapping expressions and executable code before actual data transformation is needed. The mapping relationships between source and destination data-serialization elements are pre-established through automated analysis of serialization formats, eliminating the need for manual mapping configuration during runtime.
Solution Approach 2:
The system introduces an intermediary component that automatically generates mapping expressions and executable code between source and destination systems. This intermediary translates and adapts data-serialization elements without requiring direct manual intervention, thereby reducing time consumption while maintaining adaptability to different formats.
2Productivity
If automated mapping generation is implemented, then productivity and speed of data transformation are improved, but system complexity increases
Solution Approach 1:
The system segments the complex mapping process into distinct components: generation of mapping expressions, generation of executable code, and the actual transformation execution. This segmentation allows each component to be independently managed and optimized, reducing overall system complexity while maintaining high productivity in data transformation.
Solution Approach 2:
The system creates copies of mapping expressions and executable code that can be reused across multiple data transformation operations. Instead of rebuilding mapping logic each time, the system replicates proven mapping configurations, thereby increasing productivity without proportionally increasing system complexity.
3Reliability
If comprehensive validation of mapping associations is performed, then data accuracy and reliability are improved, but processing time increases
Solution Approach 1:
The system performs validation of mapping associations in advance, during the generation phase of mapping expressions and executable code. By validating mappings before actual data transformation, the system ensures data accuracy while minimizing the time impact on production transformations, as the validation occurs during the initial setup rather than during each data processing operation.
Data Source
AI summary
A system may display a Graphical User Interface including a source region presenting a plurality of source data-serialization elements and a destination region presenting a plurality of destination data-serialization elements. The system may receive a user input associating a first destination data-serialization element, of the plurality of destination data-serialization elements, and a first source data-serialization element of the plurality of source data-serialization elements. Responsive to receiving the user input, the system may generate and store a mapping expression that defines a mapping association between the first source data-serialization element and the first destination data-serialization element. The system may present in a mapping region of the GUI displayed concurrently with the source region and the destination region, a mapping element representing the mapping association between the first source data-serialization element and the first destination data-serialization element.