Database Search Result Organization for Interactive Big Data Analysis
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Solution Overview
Problem
Existing big data tools struggle with processing extremely large data sets, requiring extensive computational resources and user intervention for analysis scheme changes, leading to inefficiencies and incomplete utilization of data.
Innovation Solution
A specialized system that facilitates efficient search, visualization, and export of large data sets through a user interface that allows complex queries, automated visualizations, and flexible data manipulation, utilizing a search engine to index and manage documents across multiple collections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated broad investigation tools are used to process large data sets, then processing capability is improved, but user flexibility and ability to make changes to analysis scheme deteriorate
Solution Approach 1:
The system segments the data processing workflow into distinct modular components: automated broad investigation modules for initial processing, and interactive user interface modules for refinement. This allows the automated system to handle voluminous data while users can intervene at specific stages to modify analysis schemes without restarting the entire process.
Solution Approach 2:
The system provides multi-functionality by combining automated broad investigation capabilities with interactive user control in a single platform. Users can switch between automated processing mode and manual intervention mode, allowing the same system to deliver both high productivity and user flexibility depending on the analytical needs.
2Ease of operation
If users manipulate data with lower level detail, then user control is improved, but ability to accommodate big data volumes deteriorates
Solution Approach 1:
The system introduces an intermediary layer between the user interface and the big data processing engine. This intermediary manages data abstraction, allowing users to work with simplified data representations while the underlying system handles the complexity of billions of records. Users gain detailed control through the interface without needing to manage the full computational burden directly.
3Speed
If preset automated processes are used, then processing speed is improved, but ability to make changes without resetting deteriorates
Solution Approach 1:
The system performs preliminary automated processing to quickly establish baseline results, then allows users to make modifications to the analysis scheme without complete resetting. The preliminary action creates a foundation that can be efficiently adjusted, maintaining speed while enabling adaptability.
Solution Approach 2:
The system transitions from static preset processes to dynamic adaptable workflows. Analysis schemes can be modified in real-time based on user feedback and emerging insights, with the system dynamically adjusting processing parameters while maintaining operational efficiency.
Data Source
AI summary
Example embodiments relate to indicating results that overlap between multiple sets of search results.