Zhamak Dehghani - Data Mesh

Zhamak impressively addresses what any data-driven company needs to implement data mesh at the culture, organizational, architectural, and technical levels to deliver value at scale sustainably. Anyone who works in data must have this book on their shelf and read it a couple of times. Like a good movie, they will discover new subtleties over and over again.

Andy Petrella, Founder of Kensu

In this book, Zhamak provides the nuance and detail that turns data mesh from a compelling idea into a viable strategy for putting data to work inside complex organizations.

Chris Ford, Head of Technology, Thoughtworks Spain

With Data Mesh, Zhamak was able to bring together the technical and organizational design practices that helped engineering organizations scale and package them in a way that makes sense for the data and analytics space.

Danilo Sato,Head of Data & AI for UK/Europe Thoughtworks

Data Mesh is a new concept, and data practitioners need to learn when and how to implement it. Zhamaks new book provides a good balance of theory and practice that can guide engineers on their path and enable them to make good design choices. The detailed approach in the book makes this new concept clear and useful. The best part, though, are the diagramssometimes a picture is worth more than 1,000 words.

Gwen Shapira,Cofounder and CPO at Nile Platform; Author of Kafka: The Definitive Guide

Data mesh is one of those concepts where we ask ourselves why we werent doing this all along. This book will be our guide.

Jesse Anderson,Managing Director Big Data Institute; Author of Data Teams

Few concepts have produced as much discussion in the data community as Data Mesh. In this book, Zhamak clearly lays out the principles and demystifies Data Mesh for the practitioner .

Julien Le Dem, Datakin CTO and OpenLineage project lead

A thorough and crucially needed overview of data as a product, including cultural, process, technology, and team changes required to get there. A data-driven organization needs a vibrant data mesh ecosystem where data products and teams emerge from business needs, not centralized data lakes and pipelines where data goes to.

Manuel Pais, Coauthor of Team Topologies

Its exciting watching a new paradigm appear. I watched microservices, and the underlying ideas, become mainstream and feel privileged to watch the building blocks of Data Mesh appear. But unlike many incremental improvements, Zhamak and her collaborators have transformed the underlying tensionbetween cross-cutting analytical data and the decoupling goals that make microservices appealinginto a transformative idea. What some may assume is merely a technical solution extends far beyond that, reconciling long-standing impedance problems between business needs and technology solutions. While complex, its multifaceted nature touches all parts of modern software development and points the way to many future innovations.

Neal Ford, Director/Software Architect/Meme Wrangler at Thoughtworks; Author of Software Architecture: The Hard Parts

In Data Mesh: Delivering Data-Driven Value at Scale, Zhamak shows a new paradigm encompassing technology and people to apply domain-driven thinking to analytics data and data products, thus enabling to derive value from data in an iterative manner.

Pramod Sadalage, Director, Data & DevOps, Thoughtworks

Data products invert the relationship between code and data, encapsulating the data and the code which serves the datawhat a clean way to distinguish between data products used in analytics and microservices used for operations.

Dr. Rebecca Parsons, CTO, Thoughtworks

To Dad

Your light remains