#238 Bringing Software Testing Best Practices to Data - Interview w/ Sofia Tania

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.Tania's LinkedIn: https://www.linkedin.com/in/sofia-tania/Presentation: "Data Mesh testing: An opinionated view of what good looks like": https://www.youtube.com/watch?v=stNZQESndAAIn this episode, Scott interviewed Sofia Tania (she goes by Tania), Tech Principal at Thoughtworks. To be clear, she was only representing her own views on the episode. Scott asked her to be on especially because of a presentation she did on applying testing - especially important for data contracts - in data mesh.Scott note: I was apparently getting extremely sick throughout this call so if I ramble a bit, I apologize. Tania's dog also _really_ wanted to be part of the conversation so you might hear us both chuckling a bit about her antics. And Tania has some really great insights so I probably asked her probably the hardest questions of any guest to date. She did a great job answering them though! A lot of the takeaways are about are we actually ready to do a lot of the necessary testing to ensure quality around data, which I don't think has a clear answer yet :)Some key takeaways/thoughts from Tania's point of view:We have to bring software best practices to data but we should do it smartly and not make the same mistakes we made in software, let's start from a leveled up position. Zhamak has said the same. The question becomes how but looking at how practices evolved in software should bring us a lot of learnings.Just pushing ownership of data to the domains won't suddenly solve data quality challenges. The new owners - the domains - have to really understand what ownership means and what quality...