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 ...

Most projects benefit from having a data model. Read this article for an overview of the most common types.

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 ...

Building databases from a data model will result in a better database implementation because you will have a better understanding of the data to be stored in your databases. A data model can clarify ...

Instead of upfront modeling, before any code is written, as is common in the relational world, big data modeling is sometimes performed based on application queries in program code or tools. What we ...

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.

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.

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

There is a key reason that companies are increasingly turning to enterprise solutions such as Couchbase Inc. for a combined relational and NoSQL database model. It’s because data is on the move ...