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 ...

Learn the 4 types of data analytics, the 7 key models, the top 10 best practices for data analytics in 2023 and more.

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

Organizations should adopt strategic approaches tailored to their specific needs and goals to fully harness the power of AI databases.

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

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

What is Model Context Protocol? The emerging standard bridging AI and data, explained MCP is the key to unlocking AI's full potential in the enterprise, the cloud, and beyond. Here's why.