#148 It's A-Okay to Solve for Today: ANZ Plus's Early Data Mesh Success - Interview w/ Adelle McDonald

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.Adelle's LinkedIn: https://www.linkedin.com/in/adelle-mcdonald-79a9a2139/In this episode, Scott interviewed Adelle McDonald, Customer and Origination Lead at ANZ Plus, a bank in Australia and New Zealand.Some key takeaways/thoughts from Adelle's point of view:To drive buy-in, the 1:1 conversations with domain owners - the business leaders - you will have to tailor your conversations to each person. Listen to their pain and reflect it back to them.Focus on an ability to quickly pivot with low cost. That can mean things aren't as product-worthy to start but it means you can evolve towards value more quickly.Addressing domain owners' pain points gets them looking at you as a partner. They will be much more willing to work with you, especially as you partner to provide actionable insights.?Controversial?: ANZ Plus is embedding data leads into domains to handle the data quanta for the domain and also build the team what they need from data. As part of that, they are slowly building up the domains' capabilities to handle their own data. This minimizes friction and creates buy-in but is likely not long-term sustainable - ownership will need to be transferred.Very important to tie the data quanta to use cases - driving value for users means focusing on use cases.Developers or software engineers owning data is complicated. Make it so they can start to make small changes and learn in a safe way instead of dumping all ownership on them at once. Ownership and knowledge aren't a switch you flip.Using a git-based, pull request approach, developers can attempt data work without manual stitching so they learn to do the work themselves; but it can...

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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