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.

The artistry in logical data models is to understand the business deeply enough to know when and where to apply abstraction, keeping objects within the used language and meanings of the organization.

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning – but while the major benchmarks ...

Data modeling advantage: The vendor offers a robust modeling tool that delivers visualizations of physical, conceptual and logical data structures. The platform can generate SQL scripts, thus ...

A satellite program that has historically been a key source of weather forecasting data will be discontinued no later than ...

Logical data model. The logical data model contains more detail than the conceptual data model and includes all the entities, relationships, attributes and rules that apply to the data.

Data Modeling: An Integrated View. Data modeling is an essential technology for understanding relationships between data sets. The integrated view of conceptual, logical, and physical data models ...

Logical data model For example, a relational table may represent an entity such as a product order. The columns in the table correspond to various order properties, such as customer ID and total cost.

Logical models are based on functional dependencies between the data elements, and not number of reads. Once the discussion considers speed of response, or the number of reads, or the count of records ...

MISMO, the standards development body for the mortgage industry released its logical data model as the next generation of the MISMO data exchange, according to a press release.The new model has the ...