#56 Insights from Deploying Data Mesh and Knowledge Graphs at Scale - KGC Takeover Interview w/ Veronika Haderlein-Høgberg and Guest Host Ellie Young
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.Ellie's LinkedIn: https://www.linkedin.com/in/sellieyoung/Veronika's LinkedIn: https://www.linkedin.com/in/veronikahaderlein/Knowledge Graph Conference website: https://www.knowledgegraph.tech/Free Ticket Raffle for Knowledge Graph Conference (submissions must be by April 18 at 11:59pm PST): Google FormIn this episode of the Knowledge Graph Conference takeover week, special guest host Ellie Young (Link) interviewed Veronika Haderlein-Høgberg, PhD. Veronika was employed at Fraunhofer-Gesellschaft at the time of recording but was representing only her own view and experiences. She was invited for her special mix of both data mesh and knowledge graph know-how.At Fraunhofer-Gesellschaft, Veronika's employer up until recently, she and team were currently implementing a knowledge graph to help with decision support for the organization. And previously, Veronika worked on a data mesh-like implementation as part of the Norwegian public sector at the Norwegian tax authority before the data mesh concept was really congealed into a singular form by Zhamak.Veronika and Ellie wrapped the conversation with a few key insights: to share data, groups need to agree on common standards to represent it, and they also need to be able to share information with each other about that data into the future. To develop these initial data standards, and to build the relationships to coordinate around that data long term, different departments in the enterprise have to converse with each other. Building conversations across departments requires also building trust, and for this curiosity is a crucial ingredient, both on the individual level, but also at the domain and organizational levels. If people don't feel comfortable asking questions, they can’t understand each other’s perspectives well enough to contribute to that shared context. What does...