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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
Inventor: Jan Portisch , Bjoern Pantel , Benjamin Merkle , Stephan Schub , Sandra Bracholdt , Roland Kolata , Michael Hladik , Christoph Meinel
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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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
Inventor: Jan Portisch , Bjoern Pantel , Benjamin Merkle , Stephan Schub , Sandra Bracholdt , Roland Kolata , Michael Hladik , Christoph Meinel
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.
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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
Inventor: Jan Portisch , Bjoern Pantel , Benjamin Merkle , Stephan Schub , Sandra Bracholdt , Roland Kolata , Michael Hladik , Christoph Meinel
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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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
Inventor: Jan Portisch , Bjoern Pantel , Benjamin Merkle , Stephan Schub , Sandra Bracholdt , Roland Kolata , Michael Hladik , Christoph Meinel
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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