Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

A proper database design cannot be thrown together quickly by novices. A practiced and formal approach to gathering data requirements and modeling data is mandatory. This modeling effort requires a ...

When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...