At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

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 layer, the ...

Organizations often force the DBA to take on the job of data modeling. That does not mean that DBAs are well-trained in data modeling, nor does it mean that DBAs are best suited to take on this task.

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new ...

RAG’s promise is straightforward: retrieve relevant information from knowledge sources and generate responses using an LLM.

With the growing interest in adopting best practices across IT departments, particularly according to standards such as the Information Technology Infrastructure Library (ITIL), many organizations are ...

TileDB, Inc., Kepler AI, and Tahoe Therapeutics today announced a groundbreaking partnership to create the first ...