#269 Panel: Leading a Data Mesh Implementation (2nd Iteration) - Led by Vanessa Eriksson w/ Stefan Zima, Duncan Cooper, and Sid Shah

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.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Vanessa's LinkedIn: https://www.linkedin.com/in/vanessaeriksson/Sid's LinkedIn: https://www.linkedin.com/in/siddharthin/Stefan's LinkedIn: https://www.linkedin.com/in/stefan-zima-650229b7/Duncan's LinkedIn: https://www.linkedin.com/in/duncan-cooper-1113722/In this episode, guest host Vanessa Eriksson, the first CDO in Sweden and the head of data advisory company Vanessa Eriksson AB facilitated a discussion with Duncan Cooper, Chief Data Officer for Northern Trust Asset Servicing, Sid Shah, Head of Data Monetization and Platform at Airtel (guest of episode #258), and Stefan Zima, Data Transformation Lead at Raiffeisen Bank International AG (guest of episode #270). As per usual, all guests were only reflecting their own views.The topic for this panel was about the leader's role in a data mesh implementation and what these four panelists have learned in that role. This was the second iteration of a panel we will likely have about every six months or so - the first was episode #215 from April of 2023.Scott note: I wanted to share my takeaways rather than trying to reflect the nuance of the panelists' views individually.Scott's Top Takeaways:Regarding data mesh: get going but don't rush. Essentially, get started now but don't be in a hurry to try to get to some picture perfect end state. You need to take your time to make sure you are transforming instead of making changes that will unravel. Be brave and move forward into some uncertainty!Relatedly, you will absolutely get many things "wrong" but wrong in a data mesh world can simply mean not right yet. We have ways to adapt/adjust and evolve as we learn and grow. Data mesh provides you the ability to iterate towards better constantly.You _really_ should...

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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