In this episode of The Data Journey, Roland Brown unveils the unseen blueprints that shape every modern data platform — the architectural patterns that quietly define how data flows, scales, and evolves.
Building on earlier discussions like Architecture = Strategy (Episode 33) and Data Stewardship (Episode 16), this episode decodes the five foundational patterns — Hub-and-Spoke, Layered, Mesh, Fabric, and Event-Driven — and how they each balance governance, agility, and innovation.
From the Hub’s control and consistency, to the Mesh’s autonomy, and the Fabric’s intelligence, Roland shows how patterns aren’t competitors but complements — forming the structural DNA of resilient, AI-ready enterprises.
Whether you’re modernising legacy systems or designing a greenfield platform, this episode helps you recognise the hidden frameworks behind your architectural choices — and why those choices are strategic acts, not technical ones.
Patterns aren’t blueprints to copy — they’re languages to think in.
Architecture is not about tools; it’s about the trade-offs you’re willing to make.
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