Data Modeling Made Simple: A Practical Guide for Business and IT Professionals (Take It With You)

Críticas:

Steve Hoberman has created an informative, fun, easy to follow, and practical book sharing data modeling concepts which are essential for any professional involved in information technology. He clearly answers key questions behind the what, why and how of data modeling and reinforces the explanations with appropriate examples, analogies and exercises.

Len Silverston

Best-Selling Author of The Data Model Resource Book, Volumes 1, 2 and 3

 

Data modeling is one of the under-exploited, and potentially very valuable, business capabilities that are often hidden away in an organization’s Information Technology department. Data Modeling Made Simple highlights both the resulting damage to business value, and the opportunities to make things better. As an easy-to follow and comprehensive guide on the ‘why’ and ‘how’ of data modeling, it also reminds us that a successful strategy for exploiting IT depends at least as much on the information as on the technology.

Chris Potts

Corporate IT Strategist and Author of fruITion:

Creating the Ultimate Corporate Strategy for Information Technology

 

Data Modeling Made Simple is an excellent training guide for anyone entering the data modeling field. Steve Hoberman takes the fundamental concepts of data modeling and presents them in an easy to understand and entertaining manner that I’m sure you will find valuable.

David Marco

President, EWSolutions

 

What a great book—and a fun read too! Steve has captured the essence of data modeling and made it simple. For those who are not data modelers but need to work with them, this book is an excellent primer. For those who model data occasionally but not routinely, it is an invaluable quick reference. And for those of us who are experienced (and incorrigible) data modelers, Data Modeling Made Simple is a terrific reminder that we really can keep it simple!

David Wells

Business Intelligence Consultant and Teacher

I have purchased several of these books for use in my position as a Data Architect and Database Designer. It is the perfect tool to give to both technical and business people who are new to data modeling. Steve has a way of explaining the complexities and fundamentals of data modeling in a way that people from diverse experiences and backgrounds can understand. If you have a need to quickly educate a person on data modeling, this book fits that bill. It has always been well received by those with whom I shared it.

Tom Bilcze

Lead Database Designer, Westfield Group

 

Data Modeling Made Simple is a must read for all professionals new to data modeling, as well as those who want to ‘speak the language’ and understand the concepts. Steve writes as though he is right there with you, walking you through the terminology, explaining the symbols, and telling you what you should consider doing before, during and after you have modeled your data.

Robert S. Seiner

President KIK Consulting & Educational Services, LLC and Publisher,

The Data Administration Newsletter, tdan.com

 

As someone who does data architecture every day, I sometimes forget why. I just know that I start with subject areas and work my way down. I need definitions that are useful, but sometimes find it hard to explain to others what I mean by that. I have adopted Steve’s words and examples when communicating to others what I do and why I do it that way; and the best part is that people are getting it.

James Lee

Data Architecture & Reporting Manager, WebMD Health Services

Reseña del editor:

Data Modeling Made Simple will provide the business or IT professional with a practical working knowledge of data modeling 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:

1. Know when a data model is needed and which type of data model is most effective for each situation
2. Read a data model of any size and complexity with the same confidence as reading a book
3. Build a fully normalized relational data model, as well as an easily navigatable dimensional model
4. Apply techniques to turn a logical data model into an efficient physical design
5. Leverage several templates to make requirements gathering more efficient and accurate
6. Explain all ten categories of the Data Model Scorecard
7. Learn strategies to improve your working relationships with others
8. Appreciate the impact unstructured data has, and will have, on our data modeling deliverables
9. Learn basic UML concepts
10. Put data modeling in context with XML, metadata, and agile development

Book Review by Johnny Gay
In this book review, I address each section in the book and provide what I found most valuable as a data modeler. I compare, as I go, how the book's structure eases the new data modeler into the subject much like an instructor might ease a beginning swimmer into the pool.

This book begins like a Dan Brown novel. It even starts out with the protagonist, our favorite data modeler, lost on a dark road somewhere in France. In this case, what saves him isn't a cipher, but of all things, something that's very much like a data model in the form of a map! The author deems they are both way-finding tools.
 

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