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Data Mesh in Practice
How to Set Up a Data-Driven Organization
Get your free copy!There’s so much Data Mesh theory, but most organizations need more strategic guidance on how to implement it. Data Mesh in Practice is the first of its kind, mapping theory to reality. Authors Max Schultze, Data Engineering Manager at Zalando and Dr. Arif Wider, Fellow Technology Consultant at ThoughtWorks, and Professor at Hochschule für Technik und Wirtschaft Berlin, guide readers through cultivating a Data Mesh mindset when transforming from a data & analytics strategy towards a data-driven organization.
Learn with real-world examples that will help you move from a general understanding of Data Mesh to assessing whether it is the right strategy for your organization. In this research report, you’ll learn about:
- Cultivating a data product mindset
- Scaling the Mesh with self-serve data infrastructure
- Sustaining the Mesh with federated computational data governance
- The current industry best practices and common pitfalls
Claim your complimentary copy now.
Get your free copy!
Meet the Authors
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.
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 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.
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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