The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

Storing data in multi-model database wards off this problem. As a modern management system, multi-model databases offer an elegant solution to managing diverse and unstructured data.

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 ...

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

Can software development be accelerated and materially reduce refactoring of in-production modules by giving data modelling a more prominent position in the Agile software development environment?

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.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

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.