Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

In this special guest feature, Mark Madsen, President of Third Nature Inc. discusses the rise of the data vault as a database modeling method that provides long-term historical storage of data from ...

Data is the #1 Driver of Transformative Value in the Enterprise today. Building data-driven businesses is clearly the topic of most board agendas this year. Increasing technology maturity coupled with ...

If your AI treats these identifiers as isolated columns in a table, the machine is essentially just memorizing a list. This ...

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 new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

The race to build artificial intelligence is driven by little silicon chips called GPUs, which were originally created for video games. A drawing of a GPU chip Tech companies are now packing GPUs — ...