Data Mesh Architecture
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Data Mesh Architecture

From the Engineering Perspective

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.

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    • Cloud Computing
    • Machine Learning
    • Software Architecture
    • Enterprise Architecture
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This book is a translation into English of Data Mesh Architektur which was originally written in German.

About the Authors

Dr. Simon Harrer
Dr. Simon Harrer

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 Visengeriyeva
Larysa Visengeriyeva

Larysa has a PhD in Augmented Data Quality at TU Berlin and is a creator of

Jochen Christ
Jochen Christ

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.

About the Contributors

André Deuerling
André Deuerling

André Deuerling is IT-Consultant at INNOQ in Germany. He is a software engineer with expertise in C++, self-contained systems and a passion for building high-performance software systems. His interests include data mesh, domain-driven design and building right-sized applications.

Marco Steinke
Marco Steinke

Marco Steinke works as Consultant at INNOQ, where he specializes in software architecture. His professional interests also encompass artificial intelligence, with a particular emphasis on the design and incorporation of AI systems.

Table of Contents

  • Intro
  • Data Mesh at a glance
    • What is Data Mesh?
    • What is Data Mesh not?
    • Why Data Mesh?
    • Who will benefit from Data Mesh and who will likely not?
  • Data analysis is becoming more natural
  • Data Mesh by example
  • Data Mesh Architecture
    • Domain-oriented decentralization
    • Data Products
    • Data platform
    • Governance
    • Enabling
  • Data Mesh in comparison
    • Data warehouse
    • Data lake
    • Data virtualization
    • Data fabric
  • Conclusion
  • Our services
  • References
  • About the authors

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