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Data 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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