#82 A Better Way to Map Domains? & Searching "For" Data, Not Just "In" Data - Interview w/ Ole Olesen-Bagneux

https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Episode list and link 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) Ole's Book (O'Reilly Early Release): https://www.oreilly.com/library/view/the-enterprise-data/9781492098706/ (https://www.oreilly.com/library/view/the-enterprise-data/9781492098706/) Transcript for this episode (https://docs.google.com/document/d/1wWCM6AQJ0GtGmYJ7XFR-kSUfWv2jzxVp4jUApNDSyMk/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 Ole Olesen-Bagneux, an Enterprise Architect who focuses on data at GN and the author of an upcoming book on data catalogs with O'Reilly. To be clear, Ole was only representing himself and not GN. The two main topics, which are somewhat intertwined, were: 1) how can we better understand and handle the concept of a domain when discussing data; and 2) how can we build systems that better enable us to search "for" data, not just search "in" data that we know exists? Some practical advice and general conclusions from Ole: Leverage what the Library and Information Sciences discipline - which is centuries (millennia?) old - has formed around the domain concept. It will help you better dig into the actual business dealings of the domain first before trying to focus too much on the technical/software aspects. The software aspects hinder your initial domain mapping - especially in depth - and business context understanding when you start from a DDD perspective