Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

In the development business, there’s no excuse for a bad design. Unfortunately, you probably know developers who skip through or completely ignore the design process because they don’t understand the ...

An enterprise conceptual data model is often seen as a high mountain to be climbed, a journey that will last a lifetime. People have visions of 10 feet or more of wall in the corporate offices ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

Unlock the potential of your data with this insightful white paper. It delves into the world of enterprise data modeling, showcasing how it not only drives business value but also forms the bedrock of ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

Decipad, a no-code startup that’s aiming to disrupt spreadsheets with accessible tools that empower people to play around with numbers, has nabbed $5 million in seed funding. Put simply, it’s building ...

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.

Rainfall is a critical component of climate governing vegetation growth and production, forage availability and quality for herbivores. However, reliable rainfall measurements are not always available ...