Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Relational data modeling is fine as long as data is being stored in a relational database, but otherwise it has no particular use. And XML cannot credibly be called a modeling language.

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.

When databases are built from a well-designed data model, the resulting structures provide increased value to the organization. The value derived from the data model exhibits itself in the form of ...

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

A new world of self-service BI brings with it its own issue of data chaos. When everyone is looking at the data their own way, people find different answers to the same questions. Data modeling can ...

What is Erwin? Erwin is a Data Modeling and Database Design Application Case Tool working on Windows. CA ERwin DM creates a blueprint for the enterprises to work on a design solution. ERwin Data ...

Microsoft has made a promised public preview of its Common Data Model (CDM) entity database available to testers. CDM is at the heart of the coming Microsoft Dynamics 365 bundle.

This approach features a centralized database linked to other data stores with a common data model that carries information from one point to another, without the need to rewrite code.