External Data Orchestration With Source-Specific Integration Services
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Solution Overview
Problem
Existing data orchestration systems face challenges in efficiently integrating and managing data from multiple external sources due to heterogeneity in data formats, access protocols, and security concerns, leading to resource consumption and scalability issues.
Innovation Solution
An orchestration system with an integration service layer that includes components tailored for each external data source, enabling uniform data access and management through standardized communication protocols, encryption, and decryption of sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate data pipelines are created for each external data source, then data integration capability is improved, but device complexity and resource consumption increase
Solution Approach 1:
The patent implements a universal data pipeline that can handle multiple external data sources through a standardized interface. The orchestration component coordinates a single pipeline to interact with different data sources (social media platforms, news outlets, weather services) using uniform data structures and protocols, eliminating the need for separate specialized pipelines for each source.
Solution Approach 2:
The patent introduces an orchestration component as an intermediary between the data sources and the processing system. This mediator manages the coordination of data retrieval from multiple external sources, handles authentication and API interactions, and standardizes the data format before passing it to the processing pipeline, thereby simplifying the overall system architecture.
2Adaptability or versatility
If multiple separate pipelines are used for different data sources, then data source coverage is improved, but processing resources are consumed excessively
Solution Approach 1:
The patent merges multiple data retrieval operations into a single coordinated pipeline. The orchestration component consolidates the interaction with multiple external data sources (Twitter, Facebook, news APIs, weather services) into one unified processing flow, reducing redundant operations and optimizing resource utilization by handling all data sources through a shared infrastructure.
3Adaptability or versatility
If heterogeneous data formats from external sources are integrated, then data comprehensiveness is improved, but data processing complexity increases
Solution Approach 1:
The patent applies local quality by implementing source-specific integration logic within the orchestration component for each external data source. Each data source (social media, news, weather) has its own tailored handling rules and transformation protocols, while the output is standardized into a uniform structure. This allows comprehensive data integration from heterogeneous sources without propagating format complexity throughout the entire system.
Data Source
AI summary
In some implementations, a device may receive, from a client device, a first request for data that is accessible via an external data source of one or more external data sources, wherein the device includes one or more integration service components associated with respective external data sources of the one or more external data sources. The device may provide, to an integration service component of the one or more integration service components, the first request. The device may provide, to the external data source, a second request via the integration service component, wherein the second request is based on the first request. The device may receive, from the external data source, a response that includes the data indicated by the first request via the integration service component. The device may provide, to the client device, the data requested by the first request based on receiving the response.