Could you please let me know the key mandatory steps that have to be followed while converting a logical data model into a physical data model? For a community in which semantics is of great ...

New semantic generators turn definitions and relationships in enterprise data models into reusable semantic layers for ...

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 ...

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 ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Can you give me a scenario converting a data model from conceptual design to logical design by using entity-relationship (ER)? This approach follows the definition of the LDM as "provable by the ...

Data modeling best practices help define a formal process that gives structure and direction to an organization’s data. Read more about data modeling now. Data modeling, at its core, is the process of ...

Identify which data modeling tools are right for your business. Discover the top tools of 2022 now. Data modeling tools play an important role in business, representing how data flows through an ...

New semantic generators in Data Architect transform business definitions and relationships already captured in enterprise data models into semantic models and layers for AI, Microsoft Power BI, dbt, ...