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.

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

A logical data model captures how a company conducts its business and how the data are organized for decision-making and analysis. The Utilities LDM also highlights data integrity problems, provides ...

Based on the above, using logical model describing business requirements and de-normalizing schema to physical data model is fundamental when building NoSQL databases.

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.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

Logical and physical data modeling capabilities include Forward and Reverse Engineering, Visual Data Lineage, Database Model and Metadata Documentation, Advanced Compare and Merge, “Where Used” ...

BMC Software's Doug Mueller cites the shortcomings of CMDBs and explains how a federated data model can overcome them.