Big Data LDN 21-22 September 2022 Olympia - London

Be a Part of The Largest Data Mesh Book Signing Ever

Pre-order signed book

Join us Onboard Our Spaceship Booth #414

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Accelerate Your Data Mesh Quest

Join us on our spaceship booth #414 to take part in our exclusive Data Mesh book signing.

We are ecstatic to welcome published Data Mesh authors Zhamak Dehghani, Max Schultze, and Andrew Mott on our spaceship booth on September 21st from 4pm.

Be a part of the largest Data Mesh book signing and walk away with one of the three books on offer:Delivering Data-Driven Value at scale‘, ‘Data Mesh in Practice‘ and the newly released, ‘Data Mesh For Dummies‘.

Choose your preferred Data Mesh book today, visit us at booth #414 to collect your book and meet the authors. Limited to the 100 copies of each book.

But wait, there’s more! See Starburst in action and take part in our Space Quest League competition for your chance to win amazing prizes.

Pre-order your book


The Data Mesh One-Stop Library!

Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author 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. This book shows you why and how.

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.

Many organizations today struggle to confidently extract business value from data.

Data is difficult to locate, access and derive value from in a timely and well governed fashion. It’s natural to embrace the idea of being data-driven, but far more difficult to execute on that commitment. Data Mesh provides a strategic framework for the people, process, and technological aspects of that journey towards becoming data-driven.

Meet the Authors

Zhamak Dehghani

Director of Emerging Technologies, ThoughtWorks

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.

Andy Mott

Lead Solution Architect, Data Mesh

Andy is the EMEA Head of Partner Solutions Architecture and Data Mesh Lead at Starburst. Andy is supporting the rapid growth of technology partners across Europe and the Middle East, working with the likes of Data Reply, AWS, Google Cloud, Red Hat, and Thoughtspot.

With over 20 years in analytics and data-focused roles, Andy’s specific focus is considering how an organisation’s use of analytics, analytical culture and analytical processes can be optimised through technologies such as self-service data tools, cloud, and streaming analytics.

Max Schultze

Data Engineering Manager, Zalando

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.

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