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In ‘Delivering Data-Driven Value at Scale‘, Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations. A distributed Data Mesh is a better choice.

And ‘Data Mesh in Practice’ is the first of its kind, mapping Data Mesh theory to reality. Authors Max Schultze, Data Engineering Manager at Zalando and Dr. Arif Wider, Fellow Technology Consultant at ThoughtWorks guide readers through cultivating a Data Mesh mindset when transforming from a data & analytics strategy towards a data-driven organization.

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Meet the Authors

Zhamak Dehghani

Director of Emerging Technologies, ThoughtWorks

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Zhamak Dehghani works with ThoughtWorks as the director of emerging technologies in North America, with a focus on distributed systems and data architecture. She has a deep passion for decentralized technology solutions and has founded the concept of Data Mesh. She is a member of ThoughtWorks Technology Advisory Board and contributes to the creation of ThoughtWorks Technology Radar. Zhamak has worked as a software engineer and architect for over 20 years and has contributed to multiple patents in distributed computing communications, as well as embedded device technologies.

Max Schultze

Data Engineering Manager, Zalando

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Max Schultze is a data engineering manager working on building a data infrastructure platform at Zalando, Europe’s biggest online platform for fashion. His focus is on building data pipelines at petabytes scale, productionizing distributed processing engines like Spark and Trino, and providing services and tooling for data management to hundreds of teams across the company. As an early adopter of the Data Mesh paradigm, he is frequently advocating its usage through conference appearances and online trainings. Max graduated from Humboldt University of Berlin, actively taking part in the university’s initial development of Apache Flink.

Dr. Arif Wider

Principal Technology Consultant, ThoughtWorks

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Dr. Arif Wider is a professor of software engineering at HTW
Berlin and a principal technology consultant with Thoughtworks Germany,
where he served as head of Data and AI before moving back to academia. As a vital part of his research, teaching, and consulting, he is passionate
about distilling and distributing great ideas and concepts that emerge in the software engineering community. He therefore frequently speaks and
writes about technology but enjoys nothing more than bringing together people with diverse backgrounds and areas of expertise.

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