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

VSEngineering 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

Engineering Contradiction:
Improveability to execute set-specific computing operationsVSAvoiddevice complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

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.

Inventive Principle:
Principle #1Segmentation

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.

Inventive Principle:
Principle #24Intermediary (Mediator)

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

Engineering Contradiction:
Improvedata accessibilityVSAvoidtime for copying and populating records
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

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.

Inventive Principle:
Principle #10Preliminary action

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.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS10860621B1Systems and methods for database management
Publication Date: 2020.12.08 MASSACHUSETTS MUTUAL LIFE INSURANCE CO
  • US10860621B1 patent drawing
  • US10860621B1 patent drawing
  • US10860621B1 patent drawing

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.