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Organizing Data Domains in a Data Mesh

Paul Andrew continues a series on data mesh architecture:

Defining an organisation hierarchy is always hard, even more so for large enterprises with massive amounts of interlock between business functions. In the context of data analytics, we attempt to tackle the problem by creating an organisation dimension as part of our star schema data model. This could include things like region, operating company, branch, department, team etc.

So, my friends, how do we go about handling this when considering a data mesh architecture and the de-centralised domains that support the natural scalability we crave. For me, it feels like we are just frontloading the dimensional modelling problem. Tackling it from the beginning in the very foundations of our data platform. But, with a twist.

Read on for that twist and for some solid guidance on data domains in practice compared to the theory.

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