Episode

Armchair Architects: Data Mesh Architecture

with David Blank-Edelman, Uli Homann, Eric Charran

Azure Essentials Show

Data meshes are an architectural pattern for implementing enterprise data platforms in large, complex organizations. Data meshes help scale analytics adoption beyond a single platform and a single implementation team. In this episode of the Azure Enablement Show, David, Uli, and Eric discuss what makes up a data mesh, what data meshes do (and don't do), when they are appropriate, and what architects should be paying attention to going forward.

Chapters

  • 00:00 - Introduction
  • 01:00 - Data Mesh Architecture has two main components: data silos and implementation
  • 02:57 - Data meshes should contain a very strong governance model
  • 06:20 - Why is the Governance Model not a Discovery Model?
  • 07:10 - Data is usually passive and requires a query or some other action to be discoverable
  • 08:07 - Data meshes help determine what data you have and who has access to it
  • 10:30 - Data meshes aren't appropriate for all use cases
  • 12:46 - Are data meshes aspirational?
  • 14:20 - What should people be paying attention to in the world of data meshes?

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