Publisher's Synopsis
This is the 2nd edition of the training manual for the Data Modelling Master Class that Steve Hoberman teaches onsite and through public classes. The Master Class is a complete course on requirements gathering and data modelling, containing four days of practical techniques for producing solid relational and dimensional data models. After learning the styles and steps in gathering and modelling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(r). You will know not just how to build a data model, but also how to build a data model well. Challenging exercises and workshops will reinforce the material and enable you to apply these techniques in your current projects. By the end of the course, you will know how To: Read a data model of any size and complexity; Validate any data model with the Data Model Scorecard(r); Build relational and dimensional subject area, logical, and physical data models; Use abstraction; Gather requirements; Leverage a series of templates for capturing requirements; Write clear, complete, and correct definitions; Explain the critical factors that must be in place for a successful enterprise data model.
