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

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, ...

As AI evolves from prediction to autonomy, enterprise systems must adapt—meeting new demands in data retrieval, caching, freshness and orchestration.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

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.

On the morning of August 21, Dameng Data's Vice General Manager, Fu Xin, delivered a keynote speech titled "Intelligent Multi ...

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

OmniAI, a Y Combinator-backed startup, aims to transform business data into a more useable, useful format for analytics.