Preface
In 2019, Zhamak Dehghani published her whitepaper on data mesh during her time at Thoughtworks. While it caught the attention of many large corporations, adopting data mesh was not easy. Most large companies have a strong legacy of analytical systems, and migrating them to a mesh architecture can be a daunting task. At the same time, the theoretical concepts of data mesh can be confusing when you map them to an actual analytical system.
In 2021, I started working with a large Microsoft customer that was struggling with their centralized data analytics platform. The platform was based on a central data lake and a single technology stack. It was rigid and was hard for all the stakeholders to adopt. As a result, many projects were creating ...
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