Data Transformation via Content-Type Binding
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Solution Overview
Problem
Existing enterprise information systems face challenges in efficiently exchanging data due to the need for custom-built adapters for specific data transformations, which are time-consuming, error-prone, and inflexible, requiring significant effort and changes when data formats or structures change.
Innovation Solution
A computer-implemented method and apparatus that uses a function selector and data binding components to determine the appropriate data transformation based on content type, allowing for the transformation of data into a generic data object and routing it to a target application, enabling flexible data exchange without requiring new adapters for each integration scenario.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If custom-built adapters are used for specific data transformations, then data exchange between enterprise information systems is achieved, but the system becomes time-consuming to implement, error-prone, and inflexible when data formats change
Solution Approach 1:
The patent implements a universal adapter architecture that can handle multiple data formats and transformation types through a single platform. The system uses configurable transformation rules and templates that can be applied across different data exchange scenarios, eliminating the need for custom-built adapters for each specific case. This universal approach maintains reliability while providing flexibility to adapt to changing data formats through configuration rather than code changes.
Solution Approach 2:
The system allows dynamic modification of transformation parameters and rules without requiring changes to the underlying adapter infrastructure. By enabling parameter-based configuration of data transformations, the system can adapt to different data formats and structures by simply changing the transformation parameters, thereby maintaining reliability while achieving versatility.
2Manufacturing precision
If custom-built adapters are developed for each integration scenario, then specific data transformation requirements are met, but significant effort and time are required for implementation and maintenance
Solution Approach 1:
The patent implements pre-configured transformation templates and rules that have been prepared in advance for common data exchange scenarios. These templates contain predefined transformation logic, data mappings, and validation rules that can be directly applied to new integration scenarios, eliminating the need to develop transformation logic from scratch. This preliminary preparation maintains transformation accuracy while dramatically reducing implementation time.
Solution Approach 2:
The system enables replication of proven transformation patterns and adapter configurations across multiple integration scenarios. By copying and adapting existing transformation templates, the system maintains the accuracy and reliability of established transformations while avoiding redundant development effort for similar data exchange requirements.
3Ease of manufacture
If proprietary adapters are used for data exchange, then specific integration requirements are satisfied, but the system requires significant changes when new data formats or sources are introduced
Solution Approach 1:
The patent implements a dynamic adapter system that can automatically adjust its behavior based on the incoming data format and transformation requirements. The system uses runtime configuration and discovery mechanisms that allow it to adapt to new data formats and sources without requiring manual reconfiguration or code changes. This dynamic approach maintains ease of implementation while providing high adaptability to changing integration requirements.
Solution Approach 2:
The system introduces an intermediary layer between data sources and target systems that handles format conversion and transformation logic. This intermediary adapter layer abstracts the complexity of specific data formats, allowing the system to easily integrate new sources by configuring the intermediary layer rather than creating entirely new integration paths. This maintains implementation ease while enabling versatility.
Data Source
AI summary
A computer implemented method, apparatus, and computer-usable program product for exchanging data using data transformation are provided. A first data binding component receives data from a function selector. A set of data bindings capable of invocation by the first data binding component is available. The function selector determines a content type associated with the data. The first data binding component receives the data and the content type from the function selector. The first data binding component invokes a data binding corresponding to the content type from the set of data bindings to transform the data into a data object. The data object has an object name. A target application is determined based on the object name, and the data object is then routed to a target application.