Virtual Multidimensional Model for Relational Database Query Interpretation
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Solution Overview
Problem
Legacy techniques for projecting a multidimensional data view onto a relational data analysis environment are resource-intensive, time-consuming, and limited in real-time data analysis capabilities, failing to efficiently process and transform data for real-time insights.
Innovation Solution
The system interprets relational database statements using a virtual multidimensional data model, generating a virtual multidimensional representation of the subject database that allows for real-time query execution and visualization, reducing processing resources and storage needs by eliminating the need for data transformation and batch processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If legacy techniques are used to project multidimensional data view onto relational data analysis environment, then data transformation and batch processing can be performed, but resource consumption increases and real-time data analysis capability is limited
Solution Approach 1:
The patent introduces a virtual multidimensional data model as an intermediary layer between the relational database and the analysis environment. This virtual model allows relational database statements to be interpreted and executed directly on the original multidimensional data without physical transformation, reducing computational overhead while maintaining data analysis capabilities. The virtual model acts as a mediator that translates relational queries into multidimensional operations without requiring data movement or batch processing.
2Ease of operation
If data transformation and batch processing are implemented, then data can be pre-processed for relational analysis tools, but processing time increases and real-time insights are limited
Solution Approach 1:
The patent establishes a virtual multidimensional data model in advance that maps relational metadata to the underlying multidimensional data structure. This preliminary setup enables direct execution of relational database statements on the original data without requiring subsequent transformation or batch processing steps. The virtual model is configured once and then allows real-time query execution, eliminating the time-consuming data transformation process while maintaining ease of operation with familiar relational SQL interfaces.
3Quantity of substance
If traditional relational database structures are used to store large volumes of data, then data can be stored in conventional formats, but database statements become complex and resource-intensive
Solution Approach 1:
The patent transitions from traditional two-dimensional relational table structures to a virtual multidimensional data model that preserves the inherent multidimensional structure of the underlying data. By mapping relational metadata to multidimensional concepts (dimensions, measures, cubes), the system allows complex multidimensional queries to be expressed using familiar relational SQL syntax, reducing statement complexity while maintaining the ability to handle large volumes of data in their native multidimensional format.
Data Source
AI summary
The present disclosure provides improved systems, methods, and computer program products suited to address the issues with legacy approaches. Specifically, the present disclosure provides a detailed description of techniques used in systems, methods, and in computer program products for interpreting relational database statements using a virtual multidimensional data model. Certain embodiments are directed to technological solutions for receiving a relational database statement comprising relational metadata mapped to a virtual multidimensional representation of a subject database, and generating a subject database statement based at least in part on the relational database statement and the virtual multidimensional representation, and configurable to operate on the subject database to produce a visualization result set, which embodiments advance the technical fields for addressing the problem of projecting a multidimensional data view of a subject database on to a relational data analysis environment to enable real time data analyses, as well as advancing peripheral technical fields.