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 ...

One of the principles within relational theory is that each entity’s row or tuple be uniquely identifiable. This means the defined structure includes some combination of attributes whose populated ...

The Rise of Logical Data Management by Christopher Gardner is a thoroughly researched and timely guide for understanding how ...

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 ...

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 ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

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 ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

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 ...