A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

We can also spot opportunities for improvement. Data modeling lives on after the database has been created and deployed, helping us to keep track of changes and adapt our systems accordingly.

A conceptual data model or conceptual schema is a high-level description of information used in developing an information system, such as database structures. It is a map of concepts and the ...

In the realm of data modeling, many-to-many relationships are often considered an "odd duck." Unlike one-to-one or one-to-many relationships, which can be directly implemented in physical database ...

Serialization is the process of converting a cascade of objects into a persistable format, and is key to such things as writing an object to disk, to a database ... the data but the model itself.

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

These top data modeling tools and applications enable users to build conceptual and logical data models that deliver significant competitive advantage. Written by eWEEK content and product ...

Data modeling products can also provide ways for data assets to be visually documented and reused and offer native support for new and emerging database platforms. Many data modeling solutions also ...

The Common Data Model, which Microsoft describes as "an out-of-box business database for storing and managing business entities," is at the center of its PowerApps service for building custom ...

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.