Occasionally one may hear that a data model is 'over-normalized,' but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

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 ...

Logical data models detail how entities in the conceptual model map to tables, fields, indexes and relationships within a relational database. For example, a relational table may represent an ...

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.

While platform dependence might be useful at first, it can quickly become a barrier to cost-efficient data processing.

To physicalize a logical model – no matter how detailed, extensive and comprehensive – is no small or easy task. A typical iteration cycle of a data centric project is: ...

Learn about data fabric, a concept in data management that helps public-sector organizations integrate scattered information repositories in a timely manner.

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