Richard Strange

Refactoring Data Vaults with Ontologies

Richard Strange explains, one of the many advantages of the Data Vault 2.0 approach is that warehouses can be refactored quickly and easily, but it can be challenging to know where to begin. An ontological approach might be a good place to start. By putting business processes and concepts into a semantic framework, you can translate business users’ experiences into a skeleton of your core data model. But this ontological approach can go further than supporting a refactor!

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Improve your Data Vault structure

Match your data to business meaning

Adapt more easily and enrich metadata

Introducing the Presenter

Richard Strange

Doctoral Researcher at the Department of Earth Sciences at the University of Oxford

Richard Strange is a Doctoral Researcher at the Department of Earth Sciences at the University of Oxford, where he is creating AI models to better forecast volcanic eruptions, and create the unified datasets that feed them. He is also a Certified Practitioner in Data Vault.
He is responsible for platform and data management for the Frontier Development Lab initiative (http://fdl.ai/), a collection of NASA and ESA state-of-the-art AI research projects, and have authored several papers including a NEURIPS Best AI Paper in Climate publication through the organisation.