AUTOMATIC CONVERSION OF DATA MODELS USING DATA MODEL ANNOTATIONS

    公开(公告)号:US20210240675A1

    公开(公告)日:2021-08-05

    申请号:US16780481

    申请日:2020-02-03

    Applicant: SAP SE

    Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

    METADATA EXTRACTOR FOR SOFTWARE APPLICATIONS
    2.
    发明申请
    METADATA EXTRACTOR FOR SOFTWARE APPLICATIONS 审中-公开
    用于软件应用的METADATA提取器

    公开(公告)号:US20160357787A1

    公开(公告)日:2016-12-08

    申请号:US14732155

    申请日:2015-06-05

    Applicant: SAP SE

    CPC classification number: G06F16/211

    Abstract: According to an embodiment of the present disclosures, systems, methods, and non-transitory computer-readable mediums having program instructions thereon, provide for a framework for automatically transferring metadata from different sources and different components of a computing platform. Further, the framework also provides for the seamless inclusion of additional metadata sources from the computing platform. The framework also provides for visualizing (e.g., modeling) the extracted metadata with a graphical user interface software application.

    Abstract translation: 根据本公开的实施例,其上具有程序指令的系统,方法和非暂时性计算机可读介质提供了用于自动从不同来源和计算平台的不同组件传送元数据的框架。 此外,该框架还提供了从计算平台无缝包含附加元数据源。 该框架还提供用图形用户界面软件应用程序可视化(例如,建模)所提取的元数据。

    Automatic conversion of data models using data model annotations

    公开(公告)号:US11762820B2

    公开(公告)日:2023-09-19

    申请号:US17887267

    申请日:2022-08-12

    Applicant: SAP SE

    CPC classification number: G06F16/212 G06F16/213 G06F16/2282 G06F16/288

    Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

    AUTOMATIC CONVERSION OF DATA MODELS USING DATA MODEL ANNOTATIONS

    公开(公告)号:US20220391363A1

    公开(公告)日:2022-12-08

    申请号:US17887267

    申请日:2022-08-12

    Applicant: SAP SE

    Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

    Automatic conversion of data models using data model annotations

    公开(公告)号:US11442907B2

    公开(公告)日:2022-09-13

    申请号:US16780481

    申请日:2020-02-03

    Applicant: SAP SE

    Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

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