George McGeachie describes key differences between database and XML design paradigms, and advises on how to ensure that your data modeling tools will help visualise your schemas.

Learn how to design data models and schemas for different types of data, such as relational, hierarchical, network, document, graph, and key-value. Discover the tools and techniques to organize ...

Learn how to create effective data models and schemas for warehousing. Discover the benefits, approaches, steps, and best practices for designing and implementing data models and schemas.

Although Analysis Services provides interfaces that let you build or integrate multidimensional databases programmatically, a more common approach is to use existing client applications from Microsoft ...

Schema Design: The dimensional model's best-known role, the basis for schema design, is alive and well in the age of big data. Data marts continue to reside on relational or multidimensional platforms ...

The Multidimensional Data Provider (MDP) is a data model that accesses a variety of data structures in a distributed environment. These data structures include SAS data sets, multidimensional ...

Learn about the data source view, which contains the logical model of the schema used by Analysis Services multidimensional database objects. [!INCLUDEappliesto-sqlas] A data source view contains the ...

Abstract: Graph Database is new and innovative area of research in the Database Technology. It mainly deals with the nodes, properties and relationships of the data graphically which is natural ...

Abstract: Graph Database is new and innovative area of research in the Database Technology. It mainly deals with the nodes, properties and relationships of the data graphically which is natural ...