You have a big data project. You understand the problem domain, you know what infrastructure to use, and maybe you’ve even decided on the framework you will use to process all that data, but one ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

Operational and analytical IT systems have always needed lots of data. But the wave of artificial intelligence and generative AI systems now being developed are pushing the demand for data to new ...

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 ...

The startup’s next flagship model, codenamed Orion, is slated to arrive around the two-year anniversary of ChatGPT. The startup’s next flagship model, codenamed Orion, is slated to arrive around the ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

It’s that time of year again, when people publish their top-10 or top-20 lists of what to expect in the year ahead. As usual, rather than pile on with another list, I’m limiting my contribution to one ...