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

On the morning of August 21, Dameng Data's Vice General Manager, Fu Xin, delivered a keynote speech titled "Intelligent Multi ...

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.

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.

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 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 ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

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 ...

Data modeling is an important part of business intelligence that requires the support of skilled professionals. Learn more about what they do.

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.