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 ...

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

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 ...

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.

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

The vast amounts of data processed by these databases raise significant concerns about how this information is protected and whether the database complies with regulatory requirements.

A data warehouse is an electronic system for storing information in a manner that is secure, reliable, easy to retrieve, and easy to manage.

What is Model Context Protocol? The emerging standard bridging AI and data, explained MCP is the key to unlocking AI's full potential in the enterprise, the cloud, and beyond. Here's why.

Oracle’s change in strategy to release a developer-first version of its new database is linked to the company’s plans to defend its market dominance and look at innovative ways to acquire new ...

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.