Data mesh is a decentralized data architecture that groups data according to a particular business domain, such as sales, finance, marketing, and more. The idea behind the data mesh architecture is that data should be managed independently by specific business domains and not in one centralized data platform, thereby making the data more accessible to business users such as data producers and data consumers.
Data mesh concept and principles
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Understanding Data Mesh Principles - DATAVERSITY
Complete Details of Data Mesh and it's Distributed Data Architecture.
The next generation of Data Platforms is the Data Mesh, by Jean-Georges Perrin
Microsoft Fabric: Unleashing the Power of Next-generation Data Analytics with AI Capabilities - iLink Digital
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Confluent on LinkedIn: Data Mesh Architectures with Event Streams
Data Mesh Architecture: Concept, Main Principles, and Implementation
1 The What and Why of Data Mesh - Data Mesh in Action
Cloud - Case Study - iLink Digital
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Data Mesh Vs. Data Fabric: Understanding the Differences
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