#8 Platform Re-use, PoC Advice, and More Data Mesh Nuggets – Interview with Matthew Darwin

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.Matt's contact info:LinkedIn: https://www.linkedin.com/in/matthewdarwindba/Twitter: @EvoDBA / https://twitter.com/EvoDBAMatt's post on platform reuse: https://medium.com/slalom-data-analytics/data-mesh-is-the-argument-a-strawman-3cffaf55ce5eMatt's LinkedIn poll on testing data pipelines: https://www.linkedin.com/feed/update/urn%3Ali%3Aactivity%3A6877216459458719744/In this episode, Matthew Darwin, Principal Data Engineer at Slalom Consulting, and Scott cover a wide range of topics including:Re an article Matt had posted on data platform re-use and shifting data ownership left:You can re-use the technologies you already know and love when building a data platform - there is literally no good reason to toss those out the windowIf your existing setup enables domains to easily transform, serve, and store their data, sure use your existing configuration; if not, there will need to be changesYour data platform will need to evolve and it is okay to start with a bit of an underwhelming data platformOther nuggets and interesting topics:Insights from direct client engagements doing data meshWhat makes for a good data mesh PoCThe usefulness of data product blueprintsHow data mesh is still bleeding edge and is therefore not for everyoneSlowing down to move faster / the long-term negatives of always looking for quick winsWhy you can't just expose your operational data model as a data productThe importance of data product interoperability - even at the PoC phaseHow crucial the organizational aspects of data mesh really areMuch moreData Mesh Radio is hosted by Scott Hirleman. If you want to connect with Scott, reach out to him on LinkedIn: https://www.linkedin.com/in/scotthirleman/If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereAll...

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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