The following is the table of contents for Practical Data Modeling (working title), my new book. It is likely to evolve as I write it. As new chapters are added, they’ll be linked here, allowing you to quickly find what you’re looking for.
Please note that reading these chapters requires a Practical Data Modeling subscription. This is because I’m a solo writer, and writing helps me earn a living. If you’re a subscriber, you’ll get a free digital version of the final book. I’ll also send out some signed physical copies to select individuals. You’ll also get access to exclusive community discussions and events, discounts on workshops and training, and much more. Thanks so much for your support!
The series of books will be available as a physical paperback (possibly hardcover), digital download, and audiobook. I expect the first book to be published sometime in 2025/early 2026, with an audiobook and course coming shortly after.
The final digital version on Substack will contain videos and other materials to supplement your learning.
Note that dates provided in the TOC are estimates, and likely to change due to challenges of research, writing, editing, and life in general.
Thanks,
Joe Reis1
Book 1 - Mixed Model Arts, Data Modeling Building Blocks
The conceptual and practical framework for data modeling.
TOC - TBD
Book 2 - Data Modeling Across Use Cases
Operational, analytics, and ML/AI data modeling
TOC - TBD
Plus, there are bonus chapters and articles for paying subscribers!
updated 8/9/2025
What are the thoughts on like, examples of different data modelling techniques? Feels like going into the intricacies of something like Data Vault, for example, would be out of scope (fair) but an example or high level explanation might be cool (with examples).
And perhaps a section on what *not* to do ("How to avoid chaos"). Otherwise can't wait
How to buy this book?