3 Steps for Better Data Modeling With IT, Data Scientists and Business Analysts Your email has been sent Data analysts can help build accessible and effective data models by defining business ...

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.

Switzerland launched an open-source model called Apertus on Monday as an alternative to proprietary models like OpenAI’s ChatGPT or Anthropic’s Claude, reports SWI as spotted by Engadget. The model’s ...

View all So yes, the data modeling process is a technical one that usually requires input from a machine learning expert or data scientist. But if you develop a framework that accurately reflects ...

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 ...

Data modeling is the process of defining datapoints and struc­tures at a detailed or abstract level to communicate information about the data shape, content, and relationships to target audiences.

InfoQ: What are the steps in a typical NoSQL data modeling process? Desmarets: When it comes to modeling with NoSQL, the biggest difference is that rules of normalization don't apply.

However, in reality data modeling is just as important in MongoDB as in other databases. Indeed, because of some of the modeling principles for MongoDB are less well understood, arguably, more ...

SqlDBM, the leading cloud-native data modeling platform for the enterprise, today announces the release of its Model Context Protocol (MCP) Server live at Databricks Data + AI Summit 2025. This ...