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.

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.

These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage.

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.

Logical Schema A logical data model or logical schema is a representation of the abstract structure of the information domain that defines all the logical constraints applied to the data stored. A ...

Measuring AI progress has usually meant testing scientific knowledge or logical reasoning – but while the major benchmarks still focus on left-brain logic skills, there’s been a quiet push within AI ...

Identify which data modeling tools are right for your business. Discover the top data modeling tools of 2022 now.

Under far too many circumstances, those responsible for modeling data are ignoring the above perspective on primary keys and are simply defining surrogate keys for everything in their data model. One ...

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.

Given structured inputs, LLMs can reproduce the logical framework for DCF valuation and generate multiple scenarios.