#254 Easing Into a Data Mesh Journey - Ocean Spray's Pre-Data Mesh Preparations - Interview w/ Paul Cavacas

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.Paul's LinkedIn: https://www.linkedin.com/in/paul-cavacas-32a36158/In this episode, Scott interviewed Paul Cavacas, Senior Manager of Data and Analytics at Ocean Spray.Quick note before jumping in: Ocean Spray is just at the beginning of their journey - in their pre-implementation phase - and there hasn't been a lot of resistance yet internally. That might make a few people jealous 😅 but there's a lot of interesting things Paul is doing to ensure that they are ready to decentralize what makes sense to decentralize at the right time. There is a lot to be gained from not rushing in. Also, apologies that Scott's audio is a bit weird, he had yet to build his makeshift sound studio in the Netherlands.Some key takeaways/thoughts from Paul's point of view:As many have stated, asking the data team - especially one person - to become an expert on many different areas of the business just to complete data work for a project just won't scale. At best it creates incredibly concentrated tribal knowledge. Use this point to drive buy-in for decentralizing data ownership.Having someone who really knows your internal IT application landscape well can really help in choosing which initial teams to start with for a data mesh implementation. That person already has good relationships and a deep understanding of your operational plane so you can pick good problem areas and partners.Similarly, build your early buy-in momentum with people that are more likely to be excited to participate in a data mesh implementation. You don't need to convince the most difficult teams to participate at the start....

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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