#30 Don't Sleep on the User Experience in Data Mesh - Interview w/ Karen Passmore and Steve Stesney

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.PredictiveUX website: https://www.predictiveux.com/PredictiveUX partnered meetup: https://www.meetup.com/hexagon-ux-dc-chapter/Karen LinkedIn: https://www.linkedin.com/in/karenpassmore/Karen Email: karen at predictiveux.comSteve LinkedIn: https://www.linkedin.com/in/stephenstesney/Steve Email: sstesney at predictiveux.comIn this episode, Scott interviewed Karen Passmore (CEO) and Steve Stesney (Data Product Lead) at consulting firm PredictiveUX. They touched on a lot of different topics - a key theme throughout is the importance of the user experience in data mesh, for both data product producers and consumers.Karen highlighted some parallels between data mesh and content management projects and how to take some key learnings from the past and apply them to data mesh implementations. They discussed the importance of providing your internal people with the right content at their current point in their learning journey - a successful implementation of data mesh requires making it far easier and more scalable to share incremental work artifacts and knowledge - it also means your crucial company knowledge actually gets documented properly.Steve talked about some historic challenges he had personally with decentralized teams - if you don't manage the cross domain collaboration, both at the business and the technical implementation levels, it is a major pain to stich your data together from all those sources. So there needs to be good alignment on interoperability. Basically, data mesh without a good interoperability strategy is just high quality data silos.Karen and Steve both emphasized the importance of UX (user experience) for driving adoption. You can have the best solution in the world but if the users don't want it, it's not going to be successful. So working with them throughout the process is crucial to get to a successful implementation, whether that is data mesh or not.Karen wrapped up by emphasizing the need to be patient and to not expect the same results or try to copy the exact path of other organizations implementing a data mesh. Every organization is very unique and you need to figure out what might work for your organization. Take learnings, not exact blueprints.The last key point to extract is the need for multiple communication methods, especially for data requests. There may be some overlap but it's a great way to ensure reliability and scalability of your business processes.Data Mesh Radio is hosted by Scott...

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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