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 ...

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.

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.

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 ...

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 ...

Unified data modeling supports features like document schema of NoSQL databases and reverse engineering of data from an existing database. It also supports visual refactoring of existing databases.

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.

A data modeling software helps craft a high-performance database, generate reports that can be useful for stakeholders and create data definition (a.k.a. data description) language (DDL). Good ...

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.