Widget Data Shape Transformation Across Platforms
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Solution Overview
Problem
Conventional data visualization systems are often incompatible across multiple platforms and software applications due to their reliance on customized components that recognize only specific data models and software languages, leading to limited functionality and inefficient data updates.
Innovation Solution
A widget management system that retrieves and transforms datasets into a data shape specified by a widget, enabling data visualization across different platforms and software applications, and facilitates periodic and compact data requests to improve performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customized software components are used for data visualization, then compatibility with a specific platform is achieved, but compatibility across multiple platforms deteriorates
Solution Approach 1:
The patent introduces a data model layer as an intermediary between the visualization component and multiple data sources. This data model acts as a mediator that translates various platform-specific data formats into a unified structure, allowing the visualization component to remain platform-agnostic while maintaining reliable compatibility with each specific platform through the translation layer.
Solution Approach 2:
The patent creates a universal data model that can handle multiple data formats and platforms through a single unified interface. The visualization component is designed to work with this universal data model, enabling it to function across multiple platforms without requiring customization for each platform, thus achieving both reliability and adaptability.
2Loss of time
If event-driven data updates are implemented, then data freshness is improved, but processor load increases due to multiple simultaneous requests
Solution Approach 1:
The patent merges multiple data requests into a single consolidated request mechanism. Instead of each visualization component making separate requests to its data source upon user interaction, the system combines these requests and processes them in a coordinated manner, reducing the total number of simultaneous requests and lowering processor load while still maintaining data freshness.
Solution Approach 2:
The patent implements a periodic update mechanism where data is refreshed at regular intervals rather than continuously or on every user interaction. This periodic action maintains data freshness by ensuring updates occur at predictable intervals while significantly reducing the overall processor load compared to event-driven updates on every user action.
Data Source
AI summary
This disclosure covers systems and methods that retrieve and transform a requested dataset into a data shape that a widget specifies for visualization. In certain embodiments, the disclosed systems and methods respond to data requests for widgets by retrieving datasets formatted according to different data models for different platforms. The systems and methods then transform the datasets into a data shape specified by the widgets. By transforming requested datasets to conform to data shapes specified by widgets, the disclosed systems and methods orchestrate the update of a widget (or multiple instances of a widget) with data that originally conformed to different data models and, in some cases, was formatted for different software applications.