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About the Book
Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. Data Mesh leverages decentralization, a concept already familiar from modern software development with Domain-Driven Design, autonomous cross-functional DevOps teams, and microservices, and applies this consistently to the world of data and analytics. Data Mesh is based on four principles that are all interdependent: Domain Ownership, Data as a Product, Self-serve Data Platform, and Federated Computational Governance. In this primer, we explain Data Mesh from the engineering perspective.
About the Authors
Dr. Simon Harrer is a senior consultant at INNOQ. In his daily business, he fights for simple solutions with domain-driven design, fitting architectures such as microservices or monoliths, and clean code in Java, Ruby or even JavaScript. Most recently, he wrote the book Java by Comparison that helps Java beginners to write cleaner code through before/after comparisons.
Larysa has a PhD in Augmented Data Quality at TU Berlin and is a creator of ml-ops.org
Jochen is a senior consultant at INNOQ. As a specialist for modern Java technologies, he creates elegant solutions with innovative architecture concepts, such as Microservices, Serverless and cloud computing. Jochen is interested in agile methods, clean code and usable security. He is a speaker at international conferences and enjoys participating in local meetups.