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

Ted Hills hosted a workshop at the recent Data Architecture Summit 2018 Conference about data modeling for relational and NoSQL databases. He said that the NoSQL movement helped the database ...

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 ...

Key Concept: Transfer Learning Transfer learning addresses data scarcity and resource limitations by allowing a model trained on one task (e.g., stock market prediction) to apply its learned ...

In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...

Excel's Data Model feature allows you to build relationships between data sets for easier reporting. Here's how to use it to make data analysis easier.

BMC Software's Doug Mueller cites the shortcomings of CMDBs and explains how a federated data model can overcome them.