Real-Time Data Structure Visualization and Management
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Solution Overview
Problem
Managing and distributing real-time data is challenging due to resource constraints and the complexity of understanding data structures, especially as more users consume data and data sizes increase.
Innovation Solution
The implementation of data structures that manage data associated with streaming events, providing visualizations to view data structures and real-time data, and facilitating control access to ensure efficient distribution and management of real-time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is distributed in a live manner to multiple users, then real-time data access is improved, but computing, storage, and network resources are consumed substantially
Solution Approach 1:
The patent segments data into structured formats with defined schemas, allowing selective distribution of only relevant data portions to different users based on their specific needs and permissions, rather than distributing entire datasets to all users
Solution Approach 2:
The patent implements preliminary data structuring, validation, and organization before distribution occurs. Data is prepared in advance with proper formatting and metadata, enabling efficient real-time delivery without requiring substantial processing resources during the distribution moment
2Quantity of substance
If data size increases to serve more users, then data coverage is improved, but difficulty in managing and distributing data increases
Solution Approach 1:
The patent creates a universal data structure framework that can handle varying data sizes and user quantities through standardized schemas. This multi-functional approach allows the same structural framework to accommodate different data volumes and user configurations without requiring separate management systems
Solution Approach 2:
The patent introduces dimensional organization through hierarchical data structures and metadata layers, transforming flat data management into multi-dimensional organization. This allows efficient navigation and distribution across large datasets by adding structural dimensions rather than increasing operational complexity
3Speed
If data is distributed quickly to multiple users, then real-time access is improved, but delays occur due to resource constraints
Solution Approach 1:
Data is structured, validated, and organized in advance before distribution requests arrive. This preliminary preparation eliminates processing delays during actual distribution, enabling immediate real-time delivery to multiple users simultaneously
Solution Approach 2:
The patent establishes continuous data flow mechanisms where structured data remains in a ready-state for distribution. Once data is initially structured, it can be continuously distributed to multiple users without repeated processing cycles, maintaining uninterrupted real-time access
Data Source
AI summary
Techniques and architectures for managing one or more data structures and/or distributing real-time data associated with the one or more data structures are discussed herein. For example, the techniques and architectures may implement data structures to manage data associated with one or more data-streaming events. The techniques and architectures may provide visualizations to view aspects of the data structures, the one or more data-streaming events, and/or other data associated with the data structures. The techniques and architectures may also facilitate control access to the data structures and/or data associated therewith.