Data modeling has always been a task that seems positioned in the middle of a white-water rapids with a paddle but no canoe. On one side of the data modeling rapids are the raging agilists who are ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

There is a key reason that companies are increasingly turning to enterprise solutions such as Couchbase Inc. for a combined relational and NoSQL database model. It’s because data is on the move.

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 ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

The Manage Data Model button may be missing for several reasons. You might be using an unsupported Excel version, such as Excel for the web or a one-time retail ...

How does deploying an aircraft carrier affect the future readiness of the fleet? A new data-modeling tool aims to predict it. (MC3Hannah Kantner/Navy) When it’s time to make a decision about sending a ...

The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...