Detector-Transformer Data Import for Diverse File Formats
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Solution Overview
Problem
Conventional data importation systems struggle with handling electronic files that lack commonality in format or layout, require manual software development for each unique file type, fail to provide access to original source files in data analysis systems, and face scalability and customization issues, leading to inefficiencies in data management and deletion challenges.
Innovation Solution
A detector/transformer framework that automatically detects and transforms data types, allows user-friendly mapping to transformation templates, and provides a flexible interface for importing data into various systems, enabling efficient handling of diverse file formats and formats data for compatibility with data analysis systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional data importation systems are used to handle electronic files with different formats and layouts, then the system can process common files straightforwardly, but it fails to handle files with unique layouts efficiently, requiring manual software development for each file type
Solution Approach 1:
The patent introduces an intermediary component (data importer with detector/transformer framework) that mediates between diverse source files and the target system. This intermediary automatically detects file types, transforms them into standardized formats, and handles layout variations, eliminating the need for custom software development for each file type while maintaining high adaptability
Solution Approach 2:
The data importer is designed as a universal system that can handle multiple file formats and layouts through a single platform. It provides multi-functional capabilities including automatic detection, transformation, and importation of various electronic data files, replacing the need for multiple specialized tools
2Loss of information
If data is imported into data analysis systems using conventional systems, then data can be analyzed and manipulated, but the systems cannot track or provide access to original source electronic data files
Solution Approach 1:
The system implements feedback mechanisms that track the provenance of imported data. It maintains records of original source files, transformation processes, and data lineage, enabling users to trace back from analyzed data to its original source while providing automated feedback about file status and location
Solution Approach 2:
The system creates and maintains copies of original source file information (metadata, pathways, identifiers) alongside the imported data. These copies enable retrieval and verification of original sources without requiring the physical source files to be present in the analysis system
3Adaptability or versatility
If conventional data importation systems handle multiple data analysis systems, then data can be distributed across systems, but the systems cannot track changes made to file copies or synchronize updates
Solution Approach 1:
The system establishes feedback loops between multiple data analysis systems, automatically detecting and communicating changes made to data files. When modifications are made in one system, the feedback mechanism triggers synchronization processes that propagate updates to other systems, ensuring consistent data across the distributed environment
Solution Approach 2:
The system implements continuous monitoring and synchronization processes that maintain data consistency across multiple systems. Rather than periodic updates, the system continuously tracks changes and maintains synchronized state, ensuring that data remains consistent and up-to-date across all connected analysis systems
4Quantity of substance
If conventional systems import large numbers of electronic files, then data volume increases, but the systems face scalability issues in tracking file status and managing imports
Solution Approach 1:
The system segments the large volume of file management tasks into manageable components. It divides file tracking, status monitoring, and import management into modular operations that can be processed independently and in parallel, enabling efficient handling of millions of files without overwhelming the system
Solution Approach 2:
The system implements self-service capabilities where files automatically register themselves upon import, self-track their status, and self-manage their metadata. This self-organizing approach eliminates the need for complex external tracking mechanisms, allowing the system to scale to handle large numbers of files efficiently
Data Source
AI summary
Computer implemented systems and methods are disclosed for importing data from electronic data files. In accordance with some embodiments, source electronic data files are received at a data importation system and managed by the data importation system. The data importation system may apply detector/transformer plugins to the received source electronic data files to transform the files for importation into one or more data analysis systems and/or databases. The data importation system may also receive user inputs for mapping source electronic data files to transformation templates. The inputs may include, for example, an assignment of a file format to the source electronic data file, identification of a file type identifier associated with the source electronic data file, and a mapping of a the source electronic data file to a transformation template. The data importation system may store the received inputs as a file type profile in a database.