#268 Adapting to and Adopting Product Thinking - Transforming Your Org for Sustainable Data Mesh - Interview w/ Iulia Varvara

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.Iulia's LinkedIn: https://www.linkedin.com/in/iuliavarvara/In this episode, Scott interviewed Iulia Varvara, Advisory Consultant in Digital and Organizational Transformation at Thoughtworks. To be clear, she was only representing her own views on the episode.Some key takeaways/thoughts from Iulia's point of view:If you are greatly changing your general approach to something - which data mesh does in many ways - you need to focus some amount on actual transformation. These approaches are not a switch you flip, it takes time and concerted effort to make lasting changes that work well.If an organization hasn't really broadly embraced product thinking, starting with data as a product/product thinking in data can act as a catalyst for other aspects of the business to embrace product thinking.You don't change the organizational mindset through words - you start using new ways of working that change people's mindset as they see the benefit of those ways of working. At the end of the day, talk is cheap.To do data mesh well and have it work for an organization, it's best to tailor to their existing ways of working. Yes, change is necessary but a revolution is far less likely to work than an evolution. How are teams working and where can we make smaller tweaks?Because you need to tailor your implementation to your own organization, any data mesh blueprint that will supposedly work for all organizations is likely to be snake oil at best.?Controversial?: The first two principles of data mesh - domain data ownership and data as a product - have the most impact on the organizational...

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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