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Data Mesh: Topologies and domain granularity

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The past year at Microsoft has been interesting to say the least! I’ve participated countless customer conversations, workshops and architecture design sessions. During these customer interactions, Data Mesh has often been a central subject of debate.

What I’ve learned is that data mesh is relatively a new subject. It’s a concept that must be shaped by companies’ unique ownership, organizational, security, pace of change, technology and cost management requirements. It’s not easy to balance all of these requirements, so companies pick a common architecture to match most of these requirements.

Different data mesh topologies. From full decentralization and fine-grained decoupling to more managed data distribution. (Credits: Piethein Strengholt)

In this blog post, I want to share different architecture design patterns and the considerations for choosing each. I’ll explain what drives companies and why they favor one design over another.

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