#300 Panel: How to Treat Your Data Platform as a Product - Led by Michael Toland w/ Sadie Martin, Marta Diaz, and Sean Gustafson
Data Mesh Radio - A podcast by Data as a Product Podcast Network
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Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/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. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Michael's LinkedIn: https://www.linkedin.com/in/mjtoland/Marta's LinkedIn: https://www.linkedin.com/in/diazmarta/Sadie's LinkedIn: https://www.linkedin.com/in/sadie-martin-06404125/Sean's LinkedIn: https://www.linkedin.com/in/seangustafson/The Magic of Platforms by Gregor Hohpe: https://platformengineering.org/talks-library/the-magic-of-platformsStart with why -- how great leaders inspire action | Simon Sinek: https://www.youtube.com/watch?v=u4ZoJKF_VuAIn this episode, guest host Michael Toland Senior Product Manager at Pathfinder Product Labs/Testdouble and host of the upcoming Data Product Management in Action Podcast facilitated a discussion with Sadie Martin, Product Manager at Fivetran (guest of episode #64), Sean Gustafson, Director of Engineering - Data Platform at Delivery Hero (guest of episode #274), and Marta Diaz, Product Manager Data Platform at Adevinta Spain. As per usual, all guests were only reflecting their own views.The topic for this panel was how to treat your data platform as a product. While many people in the data space are talking about data products, not nearly as many are treating the platform used for creating and managing those data products as a product itself. This is about moving beyond the IT services model for your data work. Platforms have life-cycles and need product management principles too! Also, in data mesh, it is crucial to understand that 'platform' can be plural, it doesn't have to be one monolithic platform, users don't care.Scott note: As per usual, I...