#127 A Quest for Readiness: The Importance of Capacity to Change in Data - Interview w/ Winfried Etzel

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.Winfried's LinkedIn: https://www.linkedin.com/in/winfried-adalbert-etzel/MetaDAMA podcast (episodes in both English and Norwegian): https://podcasts.apple.com/us/podcast/metadama-en-helhetlig-podcast-om-data-management-i-norden/id1572639573In this episode, Scott interviewed Winfried Etzel, Information Strategy Consultant at Bouvet, Board member of DAMA Norway, and host of the MetaDAMA podcast. Some key takeaways/thoughts from Winfried's point of view:Transformation teams - a team that helps domains to transform and upskill by embedding in the domain for a time - is an exciting pattern for data mesh.Transformation teams can collect information more easily and find patterns as they are closely collaborating with more domains.Think of transformation teams like a personal trainer - they help you get in shape so you learn what exercises to do and how but then you can work on your own. And you can engage them again if you need more help.How can we give guidance and enable change at the same time - the transformation teams shouldn't do the work for the domains but need to work with them. Can we go broad in the organization if we only have a limited number of transformation teams? Do we need to be in that much of a hurry where that's an issue?There's definitely some vendor washing going on around data mesh. It's often difficult to determine what is new and what they've recycled to sound new.In data, we should look to take many learning from software engineering but also other...

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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