Modular Data Indexing System for Flexible Search Configuration
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Solution Overview
Problem
Existing data set management systems face challenges in efficiently loading and searching data due to their monolithic software code implementations, making it difficult and time-consuming to modify implementations for new data sets and search features.
Innovation Solution
A computer-implemented method for preparing a data set for searching, which involves receiving a request from a client device, determining authorization, configuring storage infrastructure and indexing settings, processing the data set, and providing status notifications, using REST APIs for data storage and retrieval, and employing machine learning to identify frequently searched fields for optimized search interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a monolithic software code implementation is used for data loading and searching, then the system structure is simple, but it becomes difficult and time-consuming to modify the implementation for new data sets and search features
Solution Approach 1:
The patent divides the monolithic software code into separate, modular components including data loading modules, indexing modules, search modules, and configuration modules. Each module can be independently modified, added, or removed based on specific data set requirements and search features, enabling flexible adaptation without rewriting the entire system.
Solution Approach 2:
The patent creates a universal framework with configurable parameters and settings that can accommodate multiple data set types and search functionalities. The system uses standardized interfaces and configuration files that allow the same core codebase to serve multiple purposes across different applications and data formats.
2Adaptability or versatility
If configuration settings are required for storage infrastructure and indexing process, then the system becomes more flexible, but the ease of operation decreases due to additional setup steps
Solution Approach 1:
The patent provides pre-configured template settings for common data set types and search requirements. Users can select from predefined configurations that are optimized for specific scenarios, eliminating the need to manually configure every parameter from scratch. The system also performs automatic detection and configuration suggestions based on the uploaded data characteristics.
Solution Approach 2:
The system includes automatic configuration capabilities that detect data set properties and suggest or apply appropriate storage and indexing settings without requiring extensive user input. The configuration module automatically adjusts parameters based on data size, type, and expected query patterns, reducing the operational burden on users.
Data Source
AI summary
Embodiments of the present disclosure relate to systems and methods for preparing a data set for searching. In addition, embodiments of the present disclosure relate to solutions for configuring a storage infrastructure and indexing process for a data set.