API Plugin Architecture for Data Source Integration
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Solution Overview
Problem
Conventional data analysis platforms face challenges in efficiently integrating and accessing disparate data sources, requiring users to develop separate solutions that can be inefficient and difficult to implement.
Innovation Solution
A computing system providing a set of application programming interfaces (APIs) that allows interaction with data analysis platforms, enabling modularized services for data operations and plugin integration with new data sources, allowing web applications to access and manipulate data across various sources, including those not directly accessible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a data analysis platform supports multiple data sources through standard interfaces, then the platform's versatility is improved, but the complexity of integrating new data sources increases
Solution Approach 1:
The patent introduces a server plugin as an intermediary component that mediates between web applications and data sources. The plugin provides a standardized interface layer, allowing the platform to support multiple data sources without requiring complex direct integrations for each source. This intermediary approach enables versatile data source support while managing integration complexity through a unified plugin architecture.
2Adaptability or versatility
If users develop separate solutions for accessing unsupported data sources, then access to diverse data sources is enabled, but the ease of operation deteriorates
Solution Approach 1:
The patent implements a universal server plugin architecture that can handle multiple data sources through a common interface. Instead of requiring users to develop separate custom solutions for each data source, the plugin provides multi-functional capabilities to access various data sources through standardized mechanisms, significantly improving ease of operation while maintaining broad data source accessibility.
3Productivity
If the system provides direct access to all data sources, then data manipulation capability is improved, but the device complexity increases
Solution Approach 1:
The patent segments the data access architecture into distinct modular components: web applications, server plugins, and data sources. This segmentation allows the system to provide direct access to multiple data sources through independent plugin modules, improving data manipulation efficiency while managing complexity through modular design. Each plugin handles specific data source connections independently, preventing complexity from propagating throughout the entire system.
Data Source
AI summary
A system may determine one or more data sources which the system is configured to access. The system may provide a set of application programming interfaces (APIs) for interacting with data stored in one or more data sources. The APIs may be accessible to one or more web applications which the system is configured to serve. The system may determine that a web application has requested an operation for interacting with the data through one or more APIs in the set of APIs. The system may determine one or more responses based at least in part on the operation requested by the web application. The system may provide the response(s) to the web application.