Retroactive Dataset Version Comparison System
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Solution Overview
Problem
Conventional data management systems struggle to effectively handle retroactive changes in datasets, making it difficult to determine the correctness of decisions made based on historical data and compare outputs from different versions of logic or datasets.
Innovation Solution
A scenario management system that allows users to compare outputs of different logics and dataset versions by creating a data structure representing a portion of a data pipeline, enabling the selection of specific dataset and logic versions, and generating outputs based on these selections for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If retroactive changes are made to datasets, then data accuracy and completeness are improved, but it becomes difficult to determine the correctness of decisions made based on historical data
Solution Approach 1:
The system creates snapshots of datasets and logic versions before retroactive changes are applied. These snapshots preserve the state of data and logic at specific points in time, enabling users to replay historical scenarios and verify decision correctness even after data is updated retroactively.
Solution Approach 2:
The system creates copies of datasets and logic configurations at different versions. Instead of modifying original historical data directly, the system maintains multiple versions including the original state, allowing comparison between historical and updated states to verify decision accuracy.
2Adaptability or versatility
If multiple versions of datasets and logic are maintained for comparison, then the ability to analyze and compare outputs is improved, but processor and memory utilization increase
Solution Approach 1:
The system extracts only the necessary portions of datasets and logic configurations that differ between versions for comparison. Instead of loading and processing entire datasets, it identifies and compares specific changed elements, reducing computational overhead while maintaining version comparison functionality.
Solution Approach 2:
The system changes the state parameter of datasets and logic to indicate different versions, rather than maintaining complete separate copies. By using version identifiers and selective data retrieval, it enables version comparison with reduced memory requirements while maintaining the ability to analyze multiple states.
3Ease of operation
If a user-friendly interface is provided for selecting dataset and logic versions, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system introduces an intermediary interface layer that mediates between the user and the complex version management system. This interface presents simplified version selection options to users while handling the complexity of version identification, retrieval, and comparison in the background, making the system easy to use without exposing underlying complexity.
Data Source
AI summary
A system enables analysis of retroactively changing datasets and/or of various versions of logics. In an example, the system determines a first version of data and/or a first version of a logic and a second version of the data and/or a second version of the logic, wherein at least some of the second version of the data was retroactively added. The system determines two outputs each derived from one of a) applying the first version of the logic to the first version of the data, b) applying the second version of the logic to the first version of the data, c) applying the first version of the logic to the second version of the data, or d) applying the second version of the logic to the second version of the data. The system compares the outputs and determines one or more differences between the outputs.