Since the parameters for how information in a database should be organized and arranged are already defined, teams can easily meet various application requirements in a single database – without ...

The AI systems solving real problems aren't the ones with the most parameters but the ones with the best scaffolding.

Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without ...

The application model of Analysis Services consists of standard data access interfaces. Client applications use those interfaces: XML for Analysis and MDX to communicate with Analysis Services.

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

The changes shaping the data market may call for no less than a major redesign of the relational database model. “Modern hybrid-cloud applications have absolutely mandated the retooling and redesign ...

Database vs. Application Virtually all of the paraphernalia of the modern SQL-Server style data model evolved in response to the many-single-users nature of the Microsoft client-server world.

ACORD, the global standards-setting body for the insurance sector, has released a new model aimed at enhancing the standardisation and exchange of data across the industry's enterprise systems. The ...

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.