Database Modeling Step by Step

With the aim of simplifying relational database modeling, Database Modeling Step by Step presents the standard approach to database normalization and then adds its own approach, which is a more simplistic, intuitive way to building relational database models. Going from basics to contemporary topics, the book opens with relational data modeling and ends with BigData database modeling. A road map follows the evolution in relational modeling and includes brief introductions to data warehousing and BigData modeling. A break-down of the elements of a model explains what makes up a relational data model. This is followed by a comparison between standard normalization, along with a more simplistic intuitive approach to data modeling that a beginner can follow and understand.

A brief chapter explains how to use the database programming language SQL (Structured Query Language), which reads from and writes to a relational database. SQL is fundamental to data modeling because it helps in understanding how the model is used. In addition to the relational model, the last three chapters cover important modern topics including denormalization that leads into data warehouses and BigData database data modeling. The book explains how there is not much to logical data modeling in BigData databases as they are often without a schema, which means that BigData databases do not have schemas embedded into the database itself and therefore have no metadata and thus not much of a logical data model.

Online bonus chapters include a case study that covers relational data modeling and are available at the author's web site: www.oracletroubleshooter.com/datamodeling.html