#63 Driving Domain Maturity Through Empathy, Respect, and Understanding - Data Innovation Summit Takeover Interview w/ Henrik Göthberg

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.This episode is part of the Data Innovation Summit Takeover week of Data Mesh Radio.Data Innovation Summit website: https://datainnovationsummit.com/; use code DATAMESHR20G for 20% off ticketsFree Ticket Raffle for Data Innovation Summit (submissions must be by April 25 at 11:59pm PST): Google FormHenrik's LinkedIn: https://www.linkedin.com/in/henrikgothberg/Dairdux website: https://dairdux.com/Airplane Alliance website: https://airplanealliance.com/In the last of the interviews for the Data Innovation Summit Takeover week, Scott interviewed Henrik Göthberg, the Founder and CEO of consulting company Dairdux, the Co-Founder of the Airplane Alliance, and the Chairman of the Data Innovation Summit.Let's start with some conclusions/advice from Henrik:When working with other departments, in data mesh or not, you need to start from respect, empathy, and understanding for people in different roles.When you think about maturing a domain or process, a big bang approach very rarely works. You need to think about evolution, not revolution.To find a good pathway to maturity, start with the domains already on the leading edge, the innovators; trying to get the laggards to catch up instead of focusing on those who see value in maturity is going to lead to pain and likely not much progress.Start with less complicated and high risk challenges so you can learn and develop the right muscles to do things easier in the future. Focus heavily on reuse - reusable data, yes; but also templates and other "easy path" enabling things. To succeed in data mesh, you need to get to a place where you can have broad reusability. Reusable data, reusable processes, reusable templates, reusable tooling, etc.In a data mesh implementation, start with an initial domain but move on to adding a second domain quickly if...

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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