Data File Validation for Accurate Dataset Routing
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Solution Overview
Problem
Conventional data integration systems lack effective methods for validating data before integration into datasets, leading to improper data being routed to inappropriate destinations.
Innovation Solution
A computing system determines a file's metadata from its name and binary data, requests additional information if necessary, and routes the file based on validation rules to ensure it matches the appropriate dataset.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data integration is performed without validation, then integration speed is improved, but data routing accuracy deteriorates
Solution Approach 1:
The system performs validation checks on data files before integration occurs. The determination module examines file names and metadata to identify the target dataset in advance, ensuring data is routed to the correct destination before the integration process begins, thus maintaining both speed and accuracy
2Reliability
If comprehensive validation is performed on all data files, then data routing accuracy is improved, but processing time increases
Solution Approach 1:
The system extracts and utilizes existing metadata from data files to identify the target dataset, rather than performing comprehensive validation on all file contents. This selective approach uses only the necessary information (file name and metadata) to determine routing, reducing processing time while maintaining accuracy
3Measurement precision
If metadata extraction from binary data is performed, then data identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system uses metadata as an intermediary layer between the raw binary data and the data integration process. Instead of directly analyzing complex binary data structures, the determination module extracts and processes metadata fields that contain identification information, simplifying the overall system while improving identification accuracy
Data Source
AI summary
Systems, methods, and non-transitory computer readable media are provided for validating data for integration. A file to be integrated into a dataset may be determined. The file may be characterized by a file name and metadata. Whether the dataset can be identified based on the file name and the metadata may be determined. Based on the dataset not being identifiable, information needed to identify the dataset may be requested. Based on the dataset being identifiable, the file may be routed for integration into the dataset.