The role of data modeling in an AI-driven future The conversation also addressed the evolving landscape of data modeling, particularly the shift from the old school to the new school.

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.

Fauna, the distributed document-relational database delivered as a cloud API, today announced a new declarative schema and a suite of DevOps tooling a ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Although it’s still a relational database at its core, it’s based on an object-oriented data model with a strict graph schema and modern query language to ensure ease of use.

MongoDB's flexible schema has a lot of advantages and is clearly popular with modern application developers. However, flexible schema does not mean no schema, and those wishing to develop performant ...

Data modeling is a complex science that can be difficult to apply to big data. Learn 6 steps for creating effective big data models here.

The minor is a cohesive set of courses that elevates students from a foundational level to advanced knowledge of database systems and the database development process. Students learn the basics of ...

Pascal Desmarets: For years, the terms "schemaless," "schema-on-read," and "non-relational" have given the impression that no data modeling was necessary for NoSQL databases.

You would think that with the towering importance of data in today's modern organization that data modeling would be viewed as extremely important by management and IT professionals, so it is somewhat ...