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Published on June 28, 2022Distributed Data Mesh
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Viktor KlymenkoConsultantView all articles
Volodymyr TrishynSenior Software EngineerSharePovezani uvidi
GlobalLogic29 September 2025
GlobalLogic26 September 2025View All Insights
GlobalLogic25 September 2025Let'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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