Establishing a semantic layer requires
Posted: Tue Feb 11, 2025 7:11 am
Data architecture for operational systems must ensure proper data integration and interoperability. Data interoperability enables the sharing and exchange of operational data, the reconciliation of master data, and the preparation of analytical data.
According to Dave Wells, interoperability of all data types requires standard language for clear, non-ambiguous communication. A semantic layer is the means to create such a communication. corresponding semantic data modeling and graph technologies. Data ontologies and taxonomies form the basis for building knowledge graphs.
Progress in developing data mesh architecture led to cambodia whatsapp number data the development of the concepts of data products, data contracts, and APIs (application program interfaces) for data (product) sharing.
Similar to the concept of data mesh, the concept of a “data product” does not have aligned definitions in the data management community. The definition of a “data product” can include multiple components. A data product can consist of components from four levels (according to Dave Wells):
Data (logical and/or physical level)
Corresponding metadata of different typesProcessing (i.e., data mapping, security, and access authorization)
Interface (i.e., UI (human) and API (software))
Data products developed by ExxonMobil also have complex structures, including data pipeline orchestration, data processing, modeling and analysis, data quality, data storage, mapping on the service layer, etc.
A data contract acts as a service-level agreement for sharing and delivering data products from the data providers to the data consumers.
According to Dave Wells, interoperability of all data types requires standard language for clear, non-ambiguous communication. A semantic layer is the means to create such a communication. corresponding semantic data modeling and graph technologies. Data ontologies and taxonomies form the basis for building knowledge graphs.
Progress in developing data mesh architecture led to cambodia whatsapp number data the development of the concepts of data products, data contracts, and APIs (application program interfaces) for data (product) sharing.
Similar to the concept of data mesh, the concept of a “data product” does not have aligned definitions in the data management community. The definition of a “data product” can include multiple components. A data product can consist of components from four levels (according to Dave Wells):
Data (logical and/or physical level)
Corresponding metadata of different typesProcessing (i.e., data mapping, security, and access authorization)
Interface (i.e., UI (human) and API (software))
Data products developed by ExxonMobil also have complex structures, including data pipeline orchestration, data processing, modeling and analysis, data quality, data storage, mapping on the service layer, etc.
A data contract acts as a service-level agreement for sharing and delivering data products from the data providers to the data consumers.