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 ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

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 ...

Teradata Corp. has introduced the Utilities Logical Data Model (uLDM). As a utility's business needs evolve, the Teradata uLDM helps customer adapt their data warehouse physical model to ensure the ...

MISMO, the standards development body for the mortgage industry released its logical data model as the next generation of the MISMO data exchange, according to a press release. The new model has the ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

AWS is trying to position Nova Forge as an infrastructure-first alternative to Microsoft’s IQ vision for enterprise AI by ...

AI systems need humans to guide them with the unique enterprise history, policies, changes, and institutional knowledge before they can produce real business value. Here’s the awkward truth about ...