Automated Data Transformation Workflow Generation
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Solution Overview
Problem
The increasing complexity and cost of managing and transforming data across different formats, as data is often processed by systems that do not support the current format, necessitating manual generation of custom transformation workflows, which is time-consuming and requires continuous updates in technical knowledge.
Innovation Solution
Automated generation of data transformation workflows that transform data from a source schema and format to a target schema and format, using a rules-based comparison to determine necessary transformations and code generation to execute these transformations, reducing development costs and lag time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual generation of custom transformation workflows is used, then data can be transformed between different formats, but development time and technical knowledge requirements increase
Solution Approach 1:
The system performs automatic schema comparison and workflow generation without requiring manual intervention. The comparison module autonomously analyzes source and target schemas, identifies transformations needed, and generates executable workflows automatically, eliminating the need for manual workflow creation while maintaining adaptability across different data formats
Solution Approach 2:
The patent introduces an automated comparison module and code generation module as intermediaries between the source data schema and target data schema. These modules serve as mediators that automatically analyze schema differences and generate appropriate transformation workflows, reducing direct human involvement while ensuring accurate format compatibility
2Adaptability or versatility
If multiple data formats are introduced, then data processing capabilities are enhanced, but system complexity and storage requirements increase
Solution Approach 1:
The system implements a universal transformation workflow generation mechanism that can handle multiple data formats through a single automated comparison and code generation platform. The comparison module universally analyzes any source schema against any target schema, and the code generation module produces format-specific workflows, allowing one system to serve multiple data format requirements without proportionally increasing complexity
Solution Approach 2:
The system manages complexity by dynamically adjusting transformation parameters based on schema comparison results. Rather than maintaining fixed complex workflows for each format combination, the system generates parameter-specific transformation workflows automatically, adapting the transformation logic to match the specific source and target format requirements
3Manufacturing precision
If custom transformation workflows are manually created, then precise data transformation can be achieved, but continuous updates in technical knowledge are required
Solution Approach 1:
The automated system performs schema comparison and workflow generation without requiring operators to possess specialized transformation knowledge. The comparison module automatically identifies schema differences and determines appropriate transformations, while the code generation module produces accurate transformation workflows, eliminating the need for continuous technical knowledge updates while maintaining high transformation precision
Solution Approach 2:
The system incorporates feedback mechanisms where the comparison module continuously analyzes schema differences and adjusts transformation parameters accordingly. The generated workflows are validated against the target schema, and any discrepancies trigger automatic adjustments, ensuring transformation accuracy without requiring manual intervention or specialized knowledge
4Ease of manufacture
If automated workflow generation is implemented, then development costs are reduced, but automation extent must be increased
Solution Approach 1:
The system achieves cost reduction through complete automation where the comparison module and code generation module operate autonomously without human intervention. The system self-completes the entire workflow from schema comparison to transformation code generation, maximizing automation extent while delivering the cost benefits of eliminated manual workflow creation
Data Source
AI summary
Data transformation workflows may be generated to transform data objects. A source data schema for a data object and a target data format or target data schema for a data object may be identified. A comparison of the source data schema and the target data format or schema may be made to determine what transformations can be performed to transform the data object into the target data format or schema. Code to execute the transformation operations may then be generated. The code may be stored for subsequent modification or execution.