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 ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

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 ...

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

For AI agents to function effectively at the edge, they require structured and reliable context about the environments in ...

Unified data modeling supports features like document schema of NoSQL databases and reverse engineering of data from an existing database. It also supports visual refactoring of existing databases.

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases.

In composing a data model, the structures are put together thoughtfully and with intention. Data structures emerge from the application of semantics germane to the universe-of-discourse and filtered ...