#162 Creating Data FOMO and Keeping Close to the Business - Interview w/ Dacil Hernandez

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.Dacil's LinkedIn: https://www.linkedin.com/in/daciluhernandez/In this episode, Scott interviewed Dacil Hernandez, Director of Data and AI for Northwest Europe at Nagarro.Some key takeaways/thoughts from Dacil's point of view:At the end of the day, tech is the easy part in data. Creating value though data is the hard part. And why do data work if not to create value?It's incredibly easy and pretty common for IT and the business to get disconnected - or never be connected in the first place. Focus on creating and maintaining relationships with a steady flow of context between both sides.Dig into if your business partners actually understand what data ownership means, what it entails. They may be willing but not capable to own data at the start. Work with them to up their capabilities and understanding.Data ownership should not be treated like the "hot potato", being passed to "anyone other than me".Tell your business counterparts "I need your help to help you." You can unlock far more value through collaboration than waiting for requests.Your data strategy should give people FOMO - fear of missing out. Give them incentives that makes it feel like they can't miss out on the value you're creating.!Interesting Idea!: use gamification to find data quality issues. Don't make it a shameful thing, find it and get it remediated and celebrate the people who found it. Look to drive positive energy around your data.Talk to potential data consumers before creating a data quantum or anything in data. You won't know what you can offer that will be valuable to them until you know what they want. So have the conversation.Bad requirements...

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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