Database Record Segmentation for Set-Specific Computing
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Solution Overview
Problem
Managing database records to perform set-specific computing operations is challenging due to record number, size, content, or relationships, necessitating a technology to organize records into different sets for executing such operations.
Innovation Solution
A method involving an application server accessing records in a first database, identifying and comparing health lifestyle identifiers, creating records in a second database, configuring them for searchability, copying profile identifiers and electronic messaging addresses, and sending targeted electronic messages to users with similar lifestyles based on biometric data from wearables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If database records are organized into different sets to perform set-specific computing operations, then the ability to execute targeted operations is improved, but the device complexity increases
Solution Approach 1:
The patent segments database records into different sets (e.g., first set of records, second set of records) with distinct characteristics. Each set can be independently processed for specific computing operations, allowing targeted analysis and reducing the complexity of handling all records uniformly. The segmentation enables specialized processing pipelines for different record types.
Solution Approach 2:
The patent introduces intermediary components including an application server that acts as a mediator between the database server and external systems. This intermediary manages the complexity by handling set identification, record routing, and coordinate transformation, shielding external systems from the underlying database complexity while enabling set-specific operations.
2Adaptability or versatility
If records are copied and populated across multiple databases, then data accessibility and operational flexibility are improved, but the loss of time increases
Solution Approach 1:
The patent performs preliminary actions by pre-identifying and pre-processing records into organized sets within the database structure. Records are pre-tagged with set identifiers and organized into logical groups before external access requests. This preliminary organization enables rapid retrieval and reduces the time required for data copying and population operations.
Solution Approach 2:
The patent implements efficient copying mechanisms where record sets are replicated across database instances or exported to external systems in optimized formats. The copying process is streamlined by copying only necessary record subsets rather than entire databases, and by using structured data formats that enable rapid population of target systems.
Data Source
AI summary
Embodiments in the present disclosure may be directed to provide systems and methods for operating database and performing record set specific computing operations. The disclosed method may operate one or more client computing devices, an analytical engine, one or more wearable devices operatively coupled to one or more client computing devices via a communication network, and one or more databases. The disclosed method may include steps performed by a processor for tracking users to create or join groups with similar lifestyles attributes.


