#246 Making Federated Data Governance Approachable and Effective - Interview w/ Kinda El Maarry, PhD

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/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. 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.#252 Designing and Building a Better Data Governance Approach - Interview w/ Lauren MaffeoKinda's LinkedIn: https://www.linkedin.com/in/kindamaarry/In this episode, Scott interviewed Kinda El Maarry PhD, Director of Data Governance at Prima. To be clear, she was only representing her own views on the episode.Some key takeaways/thoughts from Kinda's point of view:Always be assessing data literacy gaps and work to address them. Gaps don't have to be a bad thing, they are a chance for your people to grow! But ignore them at your own peril :)A key aspect of your job as someone on the central governance team - or anyone managing a governance function - is to reduce friction, not add overhead. It can be hard to do that at the start of a journey but it should be a north star focus.The phrase 'data governance' still has a stigma for many people from what often happens with a central-only approach to governance - processes and rules divorced from the actual business processes and the data which creates bottlenecks and headaches.The federation of governance in data mesh helps address the bottlenecks but it introduces a new layer of complexity which can also cause some fear.?Controversial?: If you are asking people to take on ownership of data, you must make sure their line of business/part of the org has the actual capabilities to do so. Otherwise, they will greatly struggle to own and are likely to push back.Don't talk about governance in the weeds to people, the toolbox talks, the policies and standards. Focus on what are you trying to achieve with...

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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