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

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

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Document databases have long been the backbone of critical applications — now, they’re entering a new era of intelligence and capability. By embedding generative AI directly into the data ...

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.

Should you earn a master’s in data science? Dig into the requirements and potential outcomes for this degree. Learn about admissions and specializations.

The proliferation of large language models and generative AI has created fertile ground for vector database technologies to flourish.

Looking Ahead: The Potential Of AI Databases As we move into an increasingly data-driven future, the role of AI databases will only continue to grow in importance.

In the rush to build and train ever larger AI models, developers have swept up much of the searchable Internet, quite possibly including some of your own public data—and potentially some of your ...