#151 Driving Interoperability via Taxonomies and Tagging to Power Personalization - Interview w/ Jill Maffeo

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. You can download their Data Mesh for Dummies e-book (info gated) here.Jill's LinkedIn: https://www.linkedin.com/in/jillianmaffeo/Developing Interoperable Channel Domain Data (blog post): https://vista.io/blog/developing-interoperable-channel-domain-dataIn this episode, Scott interviewed Jill Maffeo, Senior Data Product Manager at Vista.Before jumping in, Jill gives a lot of very useful examples of outcomes they've been able to drive that could be abstracted to apply to your own organization's business challenges. Outcomes like better customer segmentation, faster time to launch new offerings, etc. If you are having difficulty with stakeholder buy-in, especially for someone in marketing, this episode could help you frame things in their language.Some key takeaways/thoughts from Jill's point of view:"When you're thinking about interoperability, it's just playing nice, right?" If you think of interoperability as a key part of your culture, it's easier to implement. Let people know why interoperability is good for them and the whole company.Taxonomies help drive interoperability because there is already an established language even if things don't fit perfectly. New concepts can emerge and your taxonomies should change. But it makes the interoperability discussions have at least a common starting point.Taxonomies are a living thing - make sure they aren't overly rigid and be prepared to continually evolve and improve them.Within your taxonomy structure, if there is a reason for things to be unique for a domain or use case, that is okay. Look for potential ways to also convert that data to best fit your...

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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