Read today's business headlines and you will see that many issues
stem from people not having the right data at the right time. Data
issues don't always make the front page, yet they exist within
every organisation. We need to improve how we manage data -- and
the most valuable tool for explaining, vaildating and managing data
is a data model. This book provides the business or IT professional
with a practical working knowledge of data modelling concepts and
best practices. This book is written in a conversational style that
encourages you to read it from start to finish and master these ten
objectives: Know when a data model is needed and which type of data
model is most effective for each situation; Read a data model of
any size and complexity with the same confidence as reading a book;
Build a fully normalised relational data model, as well as an
easily navigatable dimensional model; Apply techniques to turn a
logical data model into an efficient physical design; Leverage
several templates to make requirements gathering more efficient and
accurate; Explain all ten categories of the Data Model
Scorecard(r); Learn strategies to improve your working
relationships with others; Appreciate the impact unstructured data
has, and will have, on our data modelling deliverables; Learn basic
UML concepts; Put data modelling in context with XML, metadata, and
agile development.
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