Think of a NoSQL data model as the visual blueprint for an application — the equivalent of the CAD printout produced by an architect before building or renovating a house. Using this example, the ...

If your Agile software development is delivering less functionality or producing more defects in each iteration, then your Agile project team probably believes that data modelling is really dead or ...

In these extracts from his series of articles for HSJ, Jim Lane gives insights on essential aspects of data modelling, including scoping the model, defining the baseline and visualising data We’re ...

Aon’s head of catastrophe insight explains the role data science plays in quantifying natural disaster risk and the future of climate modelling. As part of Data Science Week on SiliconRepublic.com, we ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

Modern database administrators are critical data custodians, as they manage data and access to it, as well as how data ...

Multilevel modelling is sometimes used for data from complex surveys involving multistage sampling, unequal sampling probabilities and stratification. We consider generalized linear mixed models and ...

New experimental techniques are allowing the generation of complex data sets that characterize signal-transduction networks. It is no longer possible to inspect these data by intuition to extract the ...