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Neil Strange

Data Mesh and Data Vault – Never the Twain shall meet?

Data Mesh is the latest and much talked about data platform architecture to emerge. The Data Mesh approach is more broad-scoped than other methods out there, and deliberately doesn’t provide details of exactly how to build some of the components needed for a Data Platform solution.

It includes recommendations on data governance, data product management, federation, and self-service. It focuses on what a business needs to put in place for effective analytics, providing an architecture, and identifying the interfaces that components need to satisfy to make the architecture work.

It is early days yet, however, there has been a lot of industry interest and there are companies trying to implement a Data Mesh. For some of these, a Data Vault is part of the solution.

This presentation will assess the Data Mesh method and explain how a Data Vault can be used to underpin success.


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Integrating decentralization and structure

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Domain‑owned Raw/Business Vaults

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Governance and flexibility

Introducing the Presenter

Neil Strange

Chairman of the Data Vault User Group and CEO of Business Thinking

Neil Strange is the Chairman of the Data Vault User Group and a seasoned data modelling expert. With decades of experience and training under industry pioneers, Neil has a deep understanding of the intricacies of data modelling. He is passionate about helping organizations improve their data practices and adapt to agile methodologies.





Data Mesh and Data Vault – Never the Twain shall meet?

On the face of it, Data Vault 2.0 and Data Mesh are addressing different problems.

The former is centralised – both from the way data is transformed and loaded, and who can access it

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