9 results about "Logical data model" patented technology

The invention relates to the technical field of data analysis and natural language processing, and discloses a multi-source data analysis method and device, equipment and a storage medium, and the method comprises the following steps: carrying out metadata integration on a pre-accessed heterogeneous data source, and constructing a global logic data model; identifying semantic elements of a pre-acquired natural language query statement, mapping the semantic elements to corresponding logic entities in the global logic data model, and generating a structured intermediate representation; generating a unified SQL query scheme containing a plurality of SQL sub-query statements based on the intermediate representation; the SQL sub-query statements are distributed to corresponding data sources in the heterogeneous data sources to be executed, and execution results of all the data sources are obtained; and performing unified calculation processing on the execution results of the data sources to generate a unified result set, and outputting the unified result set according to a preset format. By means of natural language interaction and SQL generation, simplification of multi-source heterogeneous data analysis is achieved.

The invention provides a heterogeneous data source processing method and apparatus, and an electronic device. The method comprises the steps of accessing a relational database corresponding to a heterogeneous data source; mapping the physical table in each data source into a business-oriented logic data model; based on the logic data model borne by each product, defining an association relationship, a service capability parameter and a business rule for a main table and a plurality of levels of sub-tables of a group of hierarchical association data structures corresponding to each product; generating a user interaction interface matched with each product in combination with the logic data model and the association relationship of each product, the service capability parameter and the business rule; associating the logic data model of each product with a user interaction interface based on a business topic, and providing a visual arrangement canvas to define an association configuration relationship between product data from different data sources; and weaving the cross-product data configured based on the association configuration relationship into a unified virtual data view, and packaging the virtual data view into callable data service.

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.

The application provides a heterogeneous data source processing method and device and electronic equipment. A relational database corresponding to a heterogeneous data source is accessed; physical tables in each data source are mapped to a business-oriented logical data model; a main table and a multi-level sub-table of a group of hierarchical associated data structures corresponding to each product are defined with an association relationship, a service capability parameter and a business rule based on the logical data model carried by each product; a user interaction interface matched with each product is generated in combination with the logical data model of each product and the association relationship, the service capability parameter and the business rule; the logical data model of each product and the user interaction interface are associated based on a business topic, a visual arrangement canvas is provided to define an associated configuration relationship between product data from different data sources; cross-product data configured based on the associated configuration relationship is woven into a unified virtual data view, and the virtual data view is encapsulated into a callable data service.