#21 Data Mesh in Practice: Insights from Zalando's 2 Year Journey w/ Data Mesh - Interview w/ Max Schultze
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.Max's contact info and related links:LinkedIn: https://www.linkedin.com/in/max-schultze-b11996110/Twitter: @mcs1408 / https://twitter.com/mcs1408Presentations: Similar to content of the book (Data Innovation Summit): https://www.youtube.com/watch?v=rqYFqtztWi4Zalando's Story (Spark AI Summit): https://www.youtube.com/watch?v=UrM8yCjmzzwMax and Arif's 'Data Mesh in Practice' book links:O'Reilly: https://www.oreilly.com/library/view/data-mesh-in/9781098108502/Starburst (free gated download): https://www.starburst.io/info/data-mesh-in-practice-ebook/Max and Arif's upcoming training (Feb 14th): https://www.oreilly.com/live-events/data-mesh-in-practice/0636920508816/0636920068685/Transcript (link) courtesy of Starburst; check out their other data mesh resources herePart of Starburst's Datanova Data Mesh Summit takeover week.Max and Arif's upcoming (Feb 9th) Datanova/Starburst Data Mesh Summit Presentation: https://www.starburst.io/info/datanova2022/In this episode, Scott interviews one of the most prolific content producers in data mesh, Max Schultze, Data Engineering Manager at Fashion E-Tailer Zalando. Max shares a LOT of very valuable advice while reflecting on Zalando's data mesh journey so far two years in. Max recommends starting with empathy building and knowledge sharing but looking for ways to scale versus only 1:1 or small group conversations. He had a clever way to force the hands of data consumers to speak to data producers via an Inverse Conway Maneuver that
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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