#222 "Not All Governance is Created Equal": Data Governance as a Data Mesh Value Lever and Driver - Interview w/ Lynn Noel

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 (most interviews from #32 on) hereProvided 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.Lynn's LinkedIn: https://www.linkedin.com/in/lnoel/DAMA New England: https://damanewengland.org/Correlation/Causation XKCD: https://xkcd.com/552/In this episode, Scott interviewed Lynn Noel (pronounced Knoll), Data Governance Lead at AIM Consulting. To be clear, she was only representing her own views on the episode.Some key takeaways/thoughts from Lynn's point of view:There is a strong data governance value proposition in data mesh around making data broadly "safer, better, and easier to use and share." Lean into that value and communicate it widely.?Controversial?: Many organizations doing data mesh are moving from a very centralized approach and they have certain concerns and approaches they should take. While other organizations are overly decentralized and need to be using different approaches to migrating. Really consider these as two different approaches that land on a similar end approach.You should look to return governance to its original meaning: guiding and steering. In data mesh, governance shouldn't be about control.?Controversial?: "Not all governance is created equal." There are non-negotiables: infrastructure security and data classification. Don't over-index on sharing data at the expense of crucial governance.Shift your governance left. Shift left the responsibilities - where appropriate - but also shift governance left in your timelines - it needs to be part of the build processes.If you are doing data mesh, you have to understand the...

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Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio