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 ...

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud ...

Aon’s head of catastrophe insight explains the role data science plays in climate modelling and quantifying natural disaster risk.

Microsoft has made a promised public preview of its Common Data Model (CDM) entity database available to testers. CDM is at the heart of the coming Microsoft Dynamics 365 bundle.

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

Data modelling is dead In many Agile software development environments, it’s the end-user stories that are all-important. The underlying data model is irrelevant.

This data model (i.e. "schema design,") is useful for developing applications around any restricted resource system, not just e-commerce systems.

One of the most important steps in desiging a database is establishing the data model. Part one of a two-part article describes how to create a logical model.

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.