In-Transit Stream Segmentation for Faster Downstream Analysis
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Solution Overview
Problem
The challenge of analyzing large volumes of streaming data in a timely manner is exacerbated by the need for efficient data transfer and storage, particularly in scenarios where data volumes are so large that downstream analysis becomes non-trivial, and existing systems struggle with managing data segmentation and access control.
Innovation Solution
A data transfer service (DTS) implements dynamic in-transit segmentation of streaming data based on client-specified rules, creating logical storage object groups (SOGs) using computations on record properties and metadata, allowing for efficient storage and access control, with optional content transformation and error handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If large volumes of streaming data are transferred and stored without segmentation, then data completeness is maintained, but downstream analysis speed decreases and computational resources increase
Solution Approach 1:
The patent applies segmentation by dividing large volumes of streaming data into smaller logical storage object groups (SOGs) based on client-specified rules. Each SOG contains a subset of data that can be independently processed and analyzed. This segmentation enables downstream analysis tools to work with smaller, more manageable data subsets in parallel, thereby improving analysis speed while maintaining access to the complete data set through the aggregation of all SOGs.
2Reliability
If data is segmented into multiple storage object groups, then access control and security are improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary layer (the data transfer service with segmentation logic) that manages the complexity of data segmentation and access control. This intermediary applies client-specified rules to automatically organize data into appropriate SOGs and enforce access controls, shielding downstream analysis systems from the complexity of managing segmented data while maintaining security and access control benefits.
3Use of energy by moving object
If in-transit segmentation is implemented, then computational resources required for downstream processing are reduced, but data transfer service complexity increases
Solution Approach 1:
The patent implements preliminary action by performing data segmentation and organization into logical SOGs during the data transfer process itself, before the data reaches downstream analysis systems. This preliminary organization reduces the computational burden on downstream systems by pre-processing the data into manageable subsets with associated metadata, allowing downstream systems to skip certain processing steps and focus only on analysis.
Data Source
AI summary
An indication of one or more record properties to be used to dynamically identify a storage object group to which records from one or more data sources are to be directed is received via a programmatic interface at a data transfer service. When a record is received from one of the data sources, a version of its content is stored at a storage destination chosen configured to store data of at least one storage object group identified using one or more computations performed on the one or more record properties.