#78 Minimum Viable Data Mesh? - Interview w/ Paul Andrew

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/1OcU2AbWkY-7kLkmjAHW6-aN0IlZa3Hjmv_uSFKqoJ9I/edit?usp=sharing (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 Paul Andrew, Technical Architect at Avanade and Microsoft Data Platform MVP. Paul started by sharing his views on the chicken and egg problem of how much do you build out your data platform and when to support your data product creation and on-going operations. Is it after you've built a few data products? Entirely before? And how that discussion becomes even more in a brownfield deployment that already has existing requirements, expectations, and templates. For Paul, delivering a single data mesh data product on its own is not all that valuable - if you are going to go to the expense of implementing data mesh, you need to be able to satisfy use cases that cross domains. And the greater value is in cross-domain interoperability, getting to a data product that wasn't possible before. And, you need to deliver the data platform alongside those first 2-3 data products, otherwise you create a very hard to support data asset, not really a data product. When thinking about minimum viable data mesh, Paul views an approach leveraging DevOps and generally CI/CD - or Continuous Integration/Continuous Deliver - as very crucial. You need repea