Rerelease of #48 Overcoming Obstinate Organizational Obstacles in Data Mesh - Interview w/ Scott Hawkins

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 hereScott Hawkins' LinkedIn: https://www.linkedin.com/in/scott-hawkins-8934393/In this episode, Scott interviewed Scott Hawkins, Principal Data Architect at ITV. Scott views data mesh as a mechanism for change. Your company culture and your understanding of it are crucial to establishing data mesh well, driving that buy-in. Ask yourself: what challenges does data mesh actually address and hopefully solve, how will it impact the business not the tech, and what does it change. Your organization might not be ready for data mesh. Or a specific domain might not be ready. And that's okay! As ITV moved forward, they found a "good enough" solution via a global ID. It's not perfect, there might be some overlap - such as one person might have a different global ID for their online subscription versus their broadcast subscription - but it is far better than what they were doing. And it allows for interoperability/joins across the data. This is a big improvement - don't let perfect be the enemy of good or done.One thing working for ITV is deploying a "team-in-a-box" to help domains move forward - similar to an internal consulting team. Each situation is different so each box they are given is different. The team-in-a-box concept also means it is somewhat easier to build common best practices internally. Coming to the table with defaults has really helped ITV. Per Scott, there are 3 good ways to drive buy-in for the domain teams: At the senior level - so it trickles down as the management for the team is bought in.Via a strong carrot - solve a problem for them as a kind of quid quo pro / mutually beneficial solution. Trying to solve an unrelated problem will drive lower buy-in.Work on realigning the team KPIs/OKRs with the senior leaders to actually realign incentives. Continuing on the driving buy-in, Scott recommends working with the domain managers to generate a viable/valuable carrot for the entire team. Explain to those leaders why it matters, work with the leaders to revamp the KPIs if the KPIs are getting in the way of delivering a good data product. This is why exec-level buy-in is so crucial - it is pretty hard to start modifying team KPIs/OKRs...

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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