I'm actually midway through this book and I definitely recommend it. The content manages to be both approachable and enlightening. I'm a backend software engineer with the latitude to architect systems at my company and the content so far has given me a stronger foundation for choosing how and where to manage our data. I really enjoy the mini-dives into the structures and decisions supporting the common databases you see today (B-trees, LSM trees, etc.) and discussing the trade offs between them. Now I find myself better equipped to evaluate the tools at our disposal for a given job.
I can imagine it may not dive deep enough for people who really understand the internals of a given data store and the content is probably available elsewhere. However this book is a thoughtful and engaging curation of a lot of information that I may have missed otherwise
"..better equipped to evaluate the tools at our disposal for a given job"
That's a great review - I learned about the book recently, and it sounds like exactly what I need right now, to make a more informed decision about database choices.
For the deep dive, there are always the numerous references at the end of each chapter. Some of these link to software project documentation, but must to recent papers or conference presentations.
I can imagine it may not dive deep enough for people who really understand the internals of a given data store and the content is probably available elsewhere. However this book is a thoughtful and engaging curation of a lot of information that I may have missed otherwise