#85 The Move from Legacy to Leader in Data and Analytics - Interview w/ Immanuel Schweizer

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.Immanuel's LinkedIn: https://www.linkedin.com/in/immanuel-schweizer-17839242/In this episode, Scott interviewed Immanuel Schweizer, the Data Officer for EMD Electronics.Some interesting thoughts and questions from the conversation:Good governance starts at data collection - what are ethical and compliant ways to collect data from the beginning? This points to intentionality around data use stretching into the application - what should you collect that might not be part of the day-to-day application function but that might might lead to generating insights that will be used to generate a better user experience? And what are the ethical concerns?Should we initially create data products to serve specific use cases or should we focus on sharing data first and then shaping what people consume most into data products? EMD is approaching data products from a different angle than most, using the second approach.When looking at data mesh, should you start with the high data maturity teams or work to pull everyone up to at least a decent baseline maturity level? If you work with the most mature teams, will their challenges really be applicable to the not-so-mature domains? Can you find good reuse patterns to scale your mesh implementation?Domain owners are much more willing to share data if they understand use cases for how their data will be used and maintain control to prevent misuse. Reluctance comes from an incomplete picture causing concerns - the more visibility into how data can be and is being used, the more willing domain owners are to share. But understanding your end-to-end data supply chain is tough, especially to start. How do you evaluate when to spend the time with a domain to get them data mesh ready? If you need a high value use case to justify spending time with that domain, are you leaving many domains behind? This ties to #2 and #3.Set your target picture but be ready to adjust your target picture along the way. The world is ever changing, don't lock in to an expected target outcome.Good data governance is about speeding up 1) access to and 2) usage of data. EMD launched a data literacy program where the employees spend the...

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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