#56 Insights from Deploying Data Mesh and Knowledge Graphs at Scale - KGC Takeover Interview w/ Veronika Haderlein-Høgberg

Provided as a free resource by DataStax https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio (AstraDB) https://www.patreon.com/datameshradio (Data Mesh Radio Patreon) - get access to interviews well before they are released Transcript for this episode (https://docs.google.com/document/d/1ZCJGJU5jh5qqYN5wVrWMgTGRGOYF3PbkNO181I5PoKM/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) Knowledge Graph Conference website: https://www.knowledgegraph.tech/ (https://www.knowledgegraph.tech/) Free Ticket Raffle for Knowledge Graph Conference (submissions must be by April 18 at 11:59pm PST): https://forms.gle/Gy8KSMNDxbBfib2Z6 (Google Form) In 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 de