Column-Oriented Data Structure Repository for Real-Time Project Management
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Solution Overview
Problem
Current project management software applications lack the ability to provide real-time data in an efficient and organized manner, making it difficult for enterprises to manage operations effectively.
Innovation Solution
A system and method for generating a column-oriented data structure repository that allows for the creation and storage of new columns of single data types, enabling efficient data management and accessibility across user accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional project management software applications are used to manage operations, then various management functions (estimation, planning, scheduling, communication) can be performed, but real-time data provision is not efficient and organized
Solution Approach 1:
The patent segments data into column-oriented structures where each column represents a specific data type (e.g., tasks, resources, costs). This segmentation allows for efficient retrieval and organization of real-time data by data type, resolving the contradiction between information loss and productivity by enabling targeted, efficient data access without requiring full dataset processing
Solution Approach 2:
The patent introduces a new dimensional organization of data by implementing a column-oriented repository structure instead of traditional row-oriented or flat file structures. This dimensional change enables efficient querying and real-time data provision by organizing data along vertical columns that can be independently accessed and processed, thereby improving both information availability and operational management efficiency
2Adaptability or versatility
If multiple data types are mixed in a single data structure, then data flexibility is improved, but data uniformity and validity are compromised
Solution Approach 1:
The patent segments the data repository into multiple columns, where each column is dedicated to a specific data type (e.g., text columns for task names, numeric columns for costs, date columns for schedules). This segmentation maintains data flexibility by allowing different data types to coexist while ensuring uniformity within each column through type-specific validation rules and storage formats
Solution Approach 2:
The patent enforces homogeneity within each column by restricting each column to a single data type. This ensures data uniformity and validity within columns while maintaining overall system versatility through the variety of columns available. The homogeneous structure within columns enables efficient processing and validation while the heterogeneous collection of columns provides system-level adaptability
Data Source
AI summary
A system and method for generating a column-oriented data structure repository for columns of single data types. The method includes: receiving instructions to generate a new column of a single data type for a first data structure, wherein the first data structure is a column oriented data structure; and storing, based on the instructions, the new column within the column-oriented data structure repository, wherein the column-oriented data structure repository is accessible to at least a second user account.