Book and Author Importance of Data Model Quality Takeoff Checklist Merciless Review Merciless Humiliation? Is it Agile? Conclusion Book and Author Today I’m going to review “A Check List for Doing Data Model Design Reviews” by Kent Graziano. This publication is available as an e-book on Amazon.com. The book is very short – it will take you less than an hour to read it. But don’t let the small volume mislead you.

There are books that you plan to read. Then, there are books that you actually started reading and then stopped. Then, there are books you started reading and you hope to finish sometime. The last database book I did read was “Concise Guide to Databases” by Peter Lake and Paul Crowther. As title suggests this is not a book that dwells deeply into one specific aspect of DB theory or technology, quite the opposite.

I recently realized that our database modeling library could use a few more advanced titles. So I headed over to Amazon to see what they had on offer. There are plenty of introductory books for beginners that tell you how to normalize data, and introduce you to indexes, but what about something for the professional, grown-up database modeler? Here are 5 of the best database modeling books I found (listed in no particular order) that go beyond the basics and come highly recommended by Amazon reviewers.

Some time ago, the Vertabelo Team participated in the PostgreSQL Conference Europe 2013. Some of the talks were really nice. One of them stuck in my head for quite a long time. It was Markus Winand’s lecture titled “Indexes: The neglected performance all-rounder.” Although I had had a solid background in databases, this 50 minutes long talk showed me that not everything concerning indexes was as clear to me as I had thought.