Data Modeling Master Class Training Manual

內容簡介

The Master Class is a complete course on requirements elicitation and data modelling, containing four days of practical techniques for producing solid relational and dimensional data models. After learning the styles and steps in capturing and modelling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard[registered]. You will know not just how to build a data model, but also how to build a data model well. Three case studies and many exercises 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: Apply requirements elicitation techniques including interviewing and prototyping; Explain data modelling constructs and employ the '6 Questions' approach to ensure model precision; Demonstrate reading a data model of any size and complexity with the same confidence as reading a book; Validate any data model with key 'settings' (scope, abstraction, timeframe, function, and format) as well as through the Data Model Scorecard[registered]; Practice finding structural soundness issues and standards violations; Build relational and dimensional subject area, logical, and physical data models; and, Recognise situations where abstraction would be most valuable and situations where abstraction would be most dangerous. You will also: Use a series of templates for scoping and validating requirements, and for data profiling; Express how to write clear, complete, and correct definitions; and, Describe the two reasons an enterprise data modelling project can fail, and the factors that must be in place for the enterprise data model to succeed.

Data Modeling Master Class Training Manual

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