API Response Aggregation for Real-Time and Stored Data
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Solution Overview
Problem
Existing systems face challenges in efficiently processing data from multiple sources in different formats to respond to application programming interface requests, particularly in real-time data integration and aggregation for decision-making.
Innovation Solution
A computer system and method that aggregates real-time and non-real-time data from various data providers based on predefined rules, selects appropriate application programming interfaces, and translates data into specific formats to generate responses to API requests, utilizing a decision engine for real-time decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is obtained from a large number of data providers in different formats, then data completeness and versatility are improved, but data processing complexity and difficulty increase
Solution Approach 1:
The patent introduces an intermediary processing system that receives data from multiple data providers in different formats and transforms it into a unified format. This intermediary layer handles format conversion, validation, and aggregation, shielding the core processing system from the complexity of diverse input formats while maintaining data completeness from multiple sources.
Solution Approach 2:
The patent segments the data processing system into distinct modular components: data reception modules for different providers, format conversion modules, validation modules, and aggregation modules. Each component handles specific tasks independently, making the overall complex process manageable and maintainable through clear separation of concerns.
2Speed
If real-time data aggregation is performed from multiple sources, then decision-making speed is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by pre-validating data formats, pre-aggregating data from reliable sources, and pre-computing common metrics before actual decision-making requests arrive. This preparation work reduces the processing time required when real-time decisions are needed, as the system already has pre-processed data ready for rapid retrieval and combination.
Solution Approach 2:
The patent implements continuous data aggregation and validation processes that run in the background, maintaining an up-to-date state of aggregated data from all providers. This continuous operation eliminates the need for complete re-processing when new decisions are required, allowing the system to maintain real-time decision-making capability with minimal additional processing time.
Data Source
AI summary
A computer system comprises at least one processor; a communications module coupled to the at least one processor; and a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to receive, via the communications module and from a client device, an application programming interface request that defines parameters associated with a data request; obtain, via the communications module, real-time data from a real-time data hub based on the parameters associated with the data request; obtain, via the communications module, non-real-time data from a data store based on the parameters associated with the data request; aggregate the real-time data and the non-real-time data according to predefined aggregation rules to generate aggregate data; and send, via the communications module and to the client device, the aggregate data as a response to the application programming interface request.