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  2. Semantic data model - Wikipedia

    en.wikipedia.org/wiki/Semantic_data_model

    A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic data model is an abstraction that defines how the stored symbols (the instance data) relate to the real world. [1]

  3. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.

  4. Comparison of data modeling tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    Update database and/or update model No Oracle SQL Developer Data Modeler Logical, physical Barker, IE (Crow’s foot), and Bachman Yes Yes Update database and/or update model Yes PowerDesigner: Conceptual, logical, physical IDEF1X, IE (Crow’s foot), and more Yes Yes Update database and/or update model Yes Software Ideas Modeler: Conceptual ...

  5. Semantic query - Wikipedia

    en.wikipedia.org/wiki/Semantic_Query

    Semantic queries work on named graphs, linked data or triples. This enables the query to process the actual relationships between information and infer the answers from the network of data . This is in contrast to semantic search , which uses semantics (meaning of language constructs) in unstructured text to produce a better search result.

  6. Semantic layer - Wikipedia

    en.wikipedia.org/wiki/Semantic_layer

    A semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms managed through Business semantics management. A semantic layer maps complex data into familiar business terms such as product, customer, or revenue to offer a unified, consolidated view of data across the ...

  7. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary. The increase in the size and in the semantic heterogeneity of database schemas bring new requirements for users querying and searching structured data. At this scale it can ...

  8. Microsoft Power BI - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_BI

    Power BI Mobile apps are for Android and iOS devices, as well as for Windows phones and tablets. Power BI Gateway Gateways are used to sync external data in and out of Power BI and are required for automated refreshes. In enterprise mode, it can also be used by Microsoft Power Automate (previously called Flows) and PowerApps in Office 365.

  9. Semi-structured data - Wikipedia

    en.wikipedia.org/wiki/Semi-structured_data

    Semi-structured data [1] is a form of structured data that does not obey the tabular structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data.