However, in the process of normalizing, the data modeler must identify the objects that are meaningful and useful to the organization. The goal of data modeling is not to define an objective reality.

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.

Of course, those new to data modeling should remain conscious of these modifications, as the logical data model will not contain these new columns, but the physical data model will include these ...

Additionally, Narrative is thrilled to introduce Rosetta Stone™ 2.0, the next generation of the company's acclaimed data normalization solution, engineered using the very fine-tuning tools now ...

MIST.6030 — Online and Continuing Education Id: 036974 Offering: 2 Credits: 3-3 Description This course provides students with in-depth knowledge for modeling, designing, implementing, and managing ...

As a use case, the Buildings IOT Integration team used the OAP standards to model the data in all connected systems at 800 West Fulton Market in Chicago.

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.