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 ...

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 ...

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 ...

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 ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data modeling comprises the methodologies of creating data ...

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 ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Data modeling tools play an essential role in business, as ...

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 ...

In recent months, the AI industry has started moving toward so-called simulated reasoning models that use a "chain of thought" process to work through tricky problems in multiple logical steps. At the ...