Data Processing System with Request Matching and Audio Input
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Solution Overview
Problem
In data processing, users often need to understand technical resources and technologies to execute data processing requests correctly, leading to redundant operations and inefficient resource utilization due to lack of interaction with similar requests, resulting in duplicate outputs and monetary waste.
Innovation Solution
A system that receives data processing requests, determines partial matches with stored requests, and translates audio or UI-based inputs into technical requests for execution, optimizing resource use by comparing query types, data sources, and datasets, and generating efficiency metrics for ranking similar requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually execute data processing requests without system-wide comparison, then users can independently control their requests, but redundant operations and duplicate outputs occur leading to inefficient resource utilization
Solution Approach 1:
The system merges multiple data processing requests by comparing them against a repository of stored requests. When similarities are detected above a threshold, the system combines these requests into a single execution, preventing redundant operations and duplicate outputs while maintaining user control over the processing logic.
Solution Approach 2:
The system creates copies of previously executed data processing requests and stores them in a repository. These copied requests serve as templates for future comparisons, enabling the system to identify and consolidate similar operations without requiring users to manually control each execution.
2Ease of operation
If users must understand technical resources and technologies to execute requests, then precise control over data processing is achieved, but ease of operation decreases
Solution Approach 1:
The system introduces an intermediary layer that automatically compares data processing requests against stored templates and identifies similarities. This intermediary handles the technical complexity of request management, allowing users to operate the system without deep technical knowledge while maintaining precise control over their processing logic.
Solution Approach 2:
The system provides self-service functionality by automatically managing the comparison, matching, and consolidation of data processing requests. Users simply submit their requests without needing to understand the underlying technical mechanisms, as the system autonomously handles optimization and resource allocation.
3Adaptability or versatility
If audio or UI-based input translation is implemented, then user accessibility is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing standardized versions of data processing requests in a repository. When audio or UI-based inputs are received, the system can quickly compare them against pre-processed templates, reducing the time required for translation and execution while maintaining versatile input method support.
Data Source
AI summary
Systems and methods for data Process an optimized analytics environment are disclosed. The system may enable users to create data processing requests, interact with various data sources and datasets, and generate data processing outputs. The system may receive a data processing request from an audio-enabled input source or a UI-based input source. The system may determine whether the data processing request at least partially matches a stored data processing request. The system may receive a data processing request selection comprising the data processing request or the stored data processing request. The system may execute the data processing request selection on a data source.