#172 Data Governance Evolutions and Revolutions for Data Mesh - Interview w/ Andrew Sharp

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Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Andrew's LinkedIn: https://www.linkedin.com/in/andrewsharp27/Blog post "Data Mesh – Is this the evolutionary trigger to reinvigorate Data Governance?":https://www.theoaklandgroup.co.uk/data-mesh-is-this-the-evolutionary-trigger-to-reinvigorate-data-governance/In this episode, Scott interviewed Andrew Sharp, Data Governance Lead at the consulting company The Oakland Group based in Leeds in the United Kingdom.Some key takeaways/thoughts from Andrew's point of view:Data Governance changes that are necessary for data mesh are both a threat and an opportunity. Are you throwing away the good with the bad? Or can you reinvent your practices broadly to do governance better in general and clean out bad habits/approaches when moving to a federated model?!Controversial! Of the four pillars of data mesh, governance is the most challenging and least mature.There are no roadmaps to doing federated governance for data mesh well - and likely there can't really be a specific roadmap for all as every organization is different. People are just starting to find their way on how to do governance in data mesh well and people will need to explore for their organization.?Controversial? Data mesh will likely require a seismic - or maybe tectonic - shift in the way we approach data governance. That doesn't mean organizations have to completely change it all at once - that is overly high risk - but it probably won't work if we just try small shifts to our governance approach instead of small steps leading to a large...