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.

Logical data model Logical data models detail how entities in the conceptual model map to tables, fields, indexes and relationships within a relational database.

Data analysts can help build accessible and effective data models by defining business requirements, working with IT and data scientists, and testing data model results.

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 ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

Idera ER/Studio Enterprise Team Edition offers several logical and physical data modeling, conceptual modeling, UML modeling, data sources and platforms and model and metadata repository capabilities.

Element22 launches open source reference data model element22, a boutique advisory and design firm that exclusively specializes in data management practices and platforms within the financial ...

Physical data model. The final layer is physical and represents a composition of host system artifacts—physical data objects—derived from a logical data model coupled with its desired storage ...