Timestamped Data Sync for Out-of-Order Multi-Source Streams
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Solution Overview
Problem
Conventional systems face inefficiencies and potential failures due to improperly processing data received from disparate sources that are out of order in terms of dates and times of data transmission, leading to inaccurate data processing and system inefficiencies.
Innovation Solution
A central system sorts and groups data transmissions from disparate sources based on timestamps and identifiers, ensuring chronological ordering and normalization before storage, thereby maintaining data accuracy and preventing system failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transmitted asynchronously from disparate sources, then data collection flexibility and source independence are improved, but data ordering accuracy and processing reliability deteriorate
Solution Approach 1:
The patent applies preliminary action by embedding timestamps in data packets at the source before transmission. This pre-prepared timing information allows the centralized system to later sort and reorder data chronologically, ensuring processing reliability despite asynchronous collection flexibility from multiple disparate sources.
2Measurement precision
If data is sorted and grouped by timestamp before storage, then data processing accuracy is improved, but system complexity and processing time increase
Solution Approach 1:
The centralized system performs preliminary sorting and grouping operations on incoming data based on embedded timestamps before storage. This pre-organization of data chronologically simplifies subsequent processing operations and reduces the complexity of data retrieval and analysis, while maintaining high processing accuracy through systematic ordering.
Data Source
AI summary
Described herein is a system for syncing asynchronously received sequential data from disparate sources. In an embodiment, a central system may receive data transmissions from disparate sources. Each data transmission includes a timestamp and an identifier of the disparate source. The central system may sort the data from the data transmissions of disparate sources in chronological order based on the timestamps. The central system may group the data based on the identifier of the disparate source and normalize the data of the data transmissions to be in a specified format. The central system may store the normalized data of the data transmission in a data storage facility based on the identifier of the disparate source and the sorted order of the data.