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.

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 ...

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 ...

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.

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 properly written applications taking advantage of the new data model, oaPartitions can customize how and what data will be loaded into memory from the database.

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.