Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric

I’ve read a lot of books on data strategy and architecture but Data Management at Scale is the first one that truly mirrors the kinds of challenges I face in my day job. If you’re working in data leadership in a large complex organization, especially a multinational with messy value chains and siloed systems, this book will speak your language. Strengholt doesn’t waste time with vague frameworks. He gets into the real structural problems: how to build data products around business domains, how to design landing zones that actually scale, and how to put governance in place without killing agility. The chapter on Data Product Management alone is worth the price of the book. If you’re in a role where you’re trying to operationalize data strategy across functions, integrate governance into platform thinking, or just make data work across markets, this book is genuinely useful. It’s not aspirational fluff. It’s grounded, specific, and clearly written by someone who’s been through it.

A bunch of poorly structured encyclopedia knowledge mixed with hyped concepts. The author is not making innovation, introducing new concepts, nor carrying opinions of his own, but throws at you a compilation of what’s out there in the internet. Not engaging and very hard to read.