Learn the differences and uses of conceptual, logical, and physical data models for database development, and the benefits and tools of data modeling.

Learn the difference between conceptual and logical data models, their benefits, and how to create them for your data engineering projects.

and physical data model. I see four logical checkpoints: A high-level model, analogous to an architect’s sketch plan. This is to support early exploration of options, including scope. Here, we are not ...

For example, the author prefers to see the analysis perspective in terms of the conceptual abstraction level of ORM. Others prefer to see the design perspective in terms the logical abstraction level ...

Back in the 1970s, the ANSI SPARC three-tiered model arose, foreshadowing a smooth intertwining of data and architectural design. The three tiers concept isolated the physical storage needs of data ...

The conceptual modelling models data from the users' perspective independently from any logical and physical implementation. The paper discusses different conceptual modelling styles that may apply in ...

Traditional relational database design uses conceptual, logical, and physical modeling based on Peter Chen's methods. UML (Unified Modeling Language), though being a set of software development tools, ...