
#76 A Skeptic's View of Data Mesh and Learning Your Data Product ABCs - Interview w/ Tim Gasper
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https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Episode list and links to all available episode transcripts (most interviews from #32 on) https://docs.google.com/spreadsheets/d/1ZmCIinVgIm0xjIVFpL9jMtCiOlBQ7LbvLmtmb0FKcQc/edit?usp=sharing (here) Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB) Transcript for this episode (https://docs.google.com/document/d/1ls5QawrOffb3VGIfZCmPYHG0v729Ye7Gu7oKRaOYi8c/edit (link)) provided by Starburst. See their Data Mesh Summit recordings https://www.starburst.io/learn/events-webinars/datanova-on-demand/?datameshradio (here) and their great data mesh resource center https://www.starburst.io/info/distributed-data-mesh-resource-center/?datameshradio (here) In this episode, Scott interviewed Tim Gasper, VP of Product at data.world and the co-host of the Catalog & Cocktails podcast. They covered two main topics - 1) the skeptic's view of data mesh and 2) Tim's/the data.world team's "ABCs of Data Products" framework. Skeptics have a few main pushbacks on data mesh in Tim's view. Tim listed the top 6 that he sees and then discussed them with Scott. #1: Data mesh isn't for every organization depending on size, number of domains, data/problem space complexity, etc. Tim said this. Zhamak has said this. Most data mesh advocates/fans say this regularly. This is one of the myths of data mesh - that it's designed for everyone. Don't go to a decentralized data setup if you don't need to. Tim made the very good point that we need more conversations and better guidance on what to measure if centralization of your data team and processes is your actual challenge. #2: Tooling doesn't exist - yet? - to make it easy for domains to easily take over data ownership. A big conceptual myth of data mesh is that it has to solve every data problem, even the most difficult, right out of the gate. Tim mentioned that your team needs to really think ab
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#76 A Skeptic's View of Data Mesh and Learning Your Data Product ABCs - Interview w/ Tim Gasper
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