great resource for novice and tenured data professionals

I just finished reading the Data Modeler's Workbench cover to cover. It is an excellent piece - or as Steve would say, a great story!

I wish I had read this when I first bought it years ago. It would have really helped my modeling career - and I've been a modeler the past seven years.

I think this book is a must read for modelers of any level - from start to finish, not skipping chapters. It nails requirements gathering and analysis, providing templates for capturing same, recognizing that is where the most work lies. I really like the normalization hike and analogy to hiking to the highest peak, then denormalizing and/or abstracting.

It is not a book on theory written by some college professor or glorified lecturer that never or rarely worked in the field; rather, Steve is a tenured data professional who took the time to write down how he does it successfully. Why reinvent the wheel or proceed along in a haphazard way when he lays out how to do it?

Steve also has all the templates on his website, which is a big help.

Other Reviews

• Describes the process of Data Modelling
• Great stuff.
• Excelent practical guide to every junior or intermediate modeler
• great resource for novice and tenured data professionals
• Must have for modelers!