Data Mesh Radio

#8 Platform Re-use, PoC Advice, and More Data Mesh Nuggets – Interview with Matthew Darwin

{{top-bit}} In this episode, Matthew Darwin, Principal Data Engineer at Slalom Consulting, and Scott cover a wide range of topics including: Re an article Matt had posted on data platform re-use and shifting data ownership left: You can re-use the technologies you already know and love when building a data platform – there is literally …

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#7 Data Schema Contracts – What are they and why they matter – Interview with Olivier Wulveryck, Senior Consultant @ OCTO

{{top-bit}} In this episode, Olivier Wulveryck, Senior Consultant at consulting company OCTO Technology, and Scott discuss all things schema contracts. The episode will probably leave you with more questions than answers at this point as the concept/practice is still emerging. But you will get a good sense for how to do it right – and …

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#6 All About Data Products – Interview with Wannes Rosiers, CTO Golazo Group

{{top-bit}} In this episode, Scott interviews Wannes Rosiers, CTO at Golazo Group, who previously led DPG Media’s data mesh transition. They discussed a lot of different sub-topics around data products in data mesh including: Wannes’ framework re his 3 types of data products The importance of a specific purpose for each data product Data product …

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#5 Data Virtualization and Data Mesh, Spec Data Products, and Can You Keep Your Existing Architecture – Mesh Musings #2

{{top-bit}} Host Scott Hirleman gives some helpful context around 3 separate data mesh topics: Why Data Virtualization is not a good fit for creating and managing your data products in data mesh A reply to a wonderful article by Matthew Darwin (link below) asking if we can keep our existing data platform / architecture and …

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#3 Discover and Create Your Necessary Data Products – Data Product Flow Interview w/ Paolo Platter

{{top-bit}} In this episode, Scott interviews Paolo Platter, CTO at Agile Lab, about data product flow or 1) how to identify what data products you already have that you need to migrate to the data mesh and 2) what data products you need to create to further the business processes that will move your organization …

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