It entails putting data objects, their relationships and the rules governing them into visual form. Because it calls on diverse expertise, data modeling is rarely a one-time solo effort.

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Image: garrykillian/Adobe Stock ...

Increasingly, data modeling products offer capabilities such as ways to compare models and then synchronize them, reverse and forward engineer systems, leverage visual interfaces for ease of use, ...

Using PowerPivot for Data Modeling When you use PowerPivot, you can import millions of rows of data from various sources such as databases, spreadsheets, and online services. This capability is ...

The logical model is built on sets of data. For a more in-depth explanation of the ER model, visit the ITS Database Services Web site or the Mapping an ER Model to the Relational Model Web site (a ...

In composing a data model, the structures are put together thoughtfully and with intention. Data structures emerge from the application of semantics germane to the universe-of-discourse and filtered ...

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.