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Published on June 28, 2022Distributed Data Mesh
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Viktor KlymenkoConsultantView all articles
Volodymyr TrishynSenior Software EngineerShareRelated Content
GlobalLogic19 March 2026
Serhiy SemenovAdam RadlinskiMichal CelejewskiMykhailo Morhal1 March 2026View All Insights
GlobalLogic23 February 2026Let's start engineering impact together
GlobalLogic provides unique experience and expertise at the intersection of data, design, and engineering.
Get in touchData platform challenges with data processing and analysis are many. Today, data engineers are using the Domain-Driven Design (DDD) through the Distributed Data Mesh architecture to help overcome these obstacles. The Data Mesh approach includes four important pillars: domain-driven data ownership, data as a product, self-serve infrastructure as a platform, and federated computational governance.It’s crucial to thoroughly understand these components of Data Mesh before implementing them into an organization. Learn about Distributed Data Mesh, the current analytical data platform challenges, and how Data Mesh can overcome them by creating cloud and on-premise solutions through data storage, self-serve tooling, and more.
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