Asynchronous Data Sync Using Timestamp Ordering and Normalization
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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 intended transmission, leading to inaccurate data processing and system inefficiencies.
Innovation Solution
A system that 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 avoiding inefficiencies and 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 chronological order and processing accuracy deteriorate
Solution Approach 1:
The system embeds timestamps in data transmissions before they are sent from disparate sources. This preliminary action ensures that chronological information is preserved even when data arrives asynchronously, allowing the centralized system to later sort and process data in the correct temporal sequence without requiring synchronized transmission.
2Manufacturing precision
If data is sorted and grouped by timestamp before storage, then data processing accuracy is improved, but system complexity increases
Solution Approach 1:
The centralized system acts as an intermediary that receives data with embedded timestamps from multiple disparate sources, sorts the data based on these timestamps, and stores it in chronological order. This intermediary processing layer resolves the complexity by providing a single point of coordination that handles the sorting and grouping, rather than requiring each source to synchronize with others.
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.