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

Other data architects arose from a data modeling background and see Entity-Relationship diagramming, and defining structures using normalization or dimensionalization or Data Vault as their most ...

A novel algorithmic system that works subtly in the background to mutual benefit, and adapts quickly to local conditions, ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

If you're wondering whether data modeling is still relevant in today's fast-paced, data-driven world, this white paper is for you. You'll discover how data modeling can help you overcome challenges ...

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

Predictive modeling can help stimulate traffic flow, and when combined with a robust mass notification system can help emergency managers conduct efficient evacuation operations during disasters.

Microsoft has acquired ADRM Software, a company that sells industry-specific data models used by large companies. "As we worked closely with the Azure ...