#239 Panel: The Role of Data Product Management in Data Mesh - Led by Frannie Helforoush w/ Alla Hale and Jill Maffeo

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.Frannie's LinkedIn: https://www.linkedin.com/in/frannie-farnaz-h-a7a11014/Jill's LinkedIn: https://www.linkedin.com/in/jillianmaffeo/Alla's LinkedIn: https://www.linkedin.com/in/allahale/In this episode, guest host Frannie Helforoush, Technical Product Manager/Data Product Manager at RBC Global Asset Management (guest of episode #230) facilitated a discussion with Alla Hale, Senior Data Product Manager - Digital Capabilities at Ecolab (guest of episode #122), and Jill Maffeo, Senior Data Product Manager at Vista (guest of episode #151). As per usual, all guests were only reflecting their own views.The topic for this panel was broadly data product management and the role of the data product manager in a data mesh implementation. Data Product Manager is still a very nascent role so there is still a lot of confusion around it :) If I were to sum up the feeling of the conversation very succinctly, it would be: it's early days, have patience.Scott note: I wanted to share my takeaways rather than trying to reflect the nuance of the panelists' views individually.Scott's Top Takeaways:The role of the data product manager is pretty wide-ranging. It's easy to get overwhelmed and not focus on what really matters. We have to be patient as we learn best practices around data product management because it's still a nascent space.It's crucial to focus on who 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