6 results about "Logical data model" patented technology

Adaptable data warehousing computing systems and methods are disclosed for improved and flexible declarative control for programmatic modeling and database building, including in compute intense environments. A declarative scripting engine executes computing commands defined in a domain specific language (DSL), which is configured to programmatically configure a conceptual data model defining business object(s). A logical data model may be generated based on a declarative command defining the conceptual data model. A physical data model may be generated based on the logical data model, where the physical data model defines stage, core layer, and / or a data mart layers that may be deployed to a target database or data warehouse, and where the stage, core layer, and / or a data mart layers are the same or similar to those of the logical data model.

A system for, and method of, providing an absolute zero-code application composition platform are provided. The platform enables users to design, configure, and deploy enterprise-grade applications entirely through configuration, without generating, packaging, or maintaining any software code. The system comprises an intelligent software shell, semantic metadata framework, unified logical data model, operational semantic database, business process engine, integration and orchestration services, user experience layer, and security and compliance features. The invention eliminates technical debt, enables unlimited solutioning, and supports real-time interoperability across disparate systems.

A system for, and method of, providing an absolute zero-code application composition platform are provided. The platform enables users to design, configure, and deploy enterprise-grade applications entirely through configuration, without generating, packaging, or maintaining any software code. The system comprises an intelligent software shell, semantic metadata framework, unified logical data model, operational semantic database, business process engine, integration and orchestration services, user experience layer, and security and compliance features. The invention eliminates technical debt, enables unlimited solutioning, and supports real-time interoperability across disparate systems.

The application relates to the technical field of data analysis and natural language processing, and discloses a multi-source data analysis method, device, equipment and storage medium, the method comprising the following steps: integrating metadata of a pre-accessed heterogeneous data source, and constructing a global logical data model; identifying semantic elements of a pre-acquired natural language query statement, mapping the semantic elements to corresponding logical entities in the global logical data model, and generating a structured intermediate representation; generating a unified SQL query scheme comprising multiple SQL sub-query statements based on the intermediate representation; distributing the SQL sub-query statements to corresponding data sources in the heterogeneous data source for execution, and acquiring execution results of each data source; uniformly calculating and processing the execution results of each data source, generating a unified result set, and outputting the unified result set in a preset format. The application realizes the simplification of multi-source heterogeneous data analysis through natural language interaction and SQL generation.

The application discloses a retail enterprise heterogeneous data interoperability method and device, equipment and storage medium, relates to the technical field of data processing, and comprises the following steps: connecting each heterogeneous database of a target retail enterprise by using a preset connector, reading operation data in each heterogeneous database to obtain each target heterogeneous data, performing semantic analysis and data correlation analysis on each target heterogeneous data by using a preset artificial intelligence technology to determine a target entity corresponding to each target heterogeneous data, and constructing a preset logical data model based on the target entity; obtaining an information interoperability request sent by a data interoperability request party to the target retail enterprise, and converting the information interoperability request into target interoperability instructions corresponding to each heterogeneous database based on the logical data model, so that the operation data in each heterogeneous database is subjected to data interoperability based on the target interoperability instructions to obtain heterogeneous data interoperability results of the target retail enterprise. In this way, the data interoperability can be improved.