Data Feeds Platform Standardizing Heterogeneous Protocol Conversion
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Solution Overview
Problem
Centralized data servers face challenges in managing data flows from heterogeneous systems due to diverse data protocols and formats, lacking sufficient functionality for data update control, alert notifications, and data flow lifecycle tracking.
Innovation Solution
A data feeds platform utilizing a standardized data feed protocol that converts and manages data from various protocols, enabling meta-data driven data flow definition, delivery, and tracking, with modules for data preparation, alerts, and acknowledgments, facilitating the creation of centrally-managed data warehouses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If centralized data servers accommodate multiple heterogeneous data protocols and formats, then the system can integrate more external systems, but the device complexity and difficulty of managing data flows increase significantly
Solution Approach 1:
The patent introduces a data feeds platform as an intermediary layer between external heterogeneous systems and the centralized data server. This platform provides standardized data feeds that translate and normalize data from various protocols (XML, JSON, CSV, etc.) into a uniform format, thereby reducing the complexity of direct multi-protocol integration while maintaining high adaptability to different external systems
Solution Approach 2:
The system segments data flow management into distinct components: data collection from external systems, data feed generation with standardized formats, data distribution to multiple consumers, and lifecycle management. Each component handles specific aspects of data flow independently, reducing overall system complexity while maintaining versatility
2Ease of operation
If data flow management is implemented through ad-hoc solutions, then implementation is flexible and independent, but the system lacks sufficient functionality for controlling data updates, issuing alerts, and tracking data flows
Solution Approach 1:
The data feeds platform provides a universal, multi-functional solution that combines data collection, standardized formatting, distribution, lifecycle management, alerting, and tracking capabilities into a single integrated system. This maintains implementation independence while ensuring reliable functionality for all data flow management tasks through standardized interfaces
3Adaptability or versatility
If data from heterogeneous systems is directly integrated without standardization, then data diversity is preserved, but data representation and actions vary across systems reducing efficiency
Solution Approach 1:
The standardized data feed format acts as an intermediary representation layer that preserves the semantic diversity of source data while providing a uniform structure for processing. The feed includes standardized fields for data representation, actions, and metadata, enabling efficient batch processing and consistent handling across all data types without losing source system characteristics
Data Source
AI summary
A data feeds platform, comprising a data feed using a data feed protocol. The data feed protocol comprises, a feed header defining at least one identification attribute, a data header defining a data structure comprising data nodes, each data node corresponding to a subset of the data, and a data section, the data section storing the data according to the data structure. A plurality of heterogeneous data protocols is stored. A data input is received in one of the plurality of heterogeneous data protocols. The data input is converted to the data feed protocol, creating the data feed.