Data Mesh
Showing 3 out of 3 results
Modern Software Practices in a Legacy System
Audun Fauchald Strand, principal engineer at NAV (Norwegian Labour and Welfare Administration), shares the story of how they modernized their long-running open source platform NAIS. In their conversation, Audun and Kevlin Henney touch on topics such as how to organize massive amounts of data and if legacy code can be considered as something good. You’ll also find out how open source fits in a large governmental software team that focuses on transparency.
Getting Started with Service Mesh
Hanna Prinz, a consultant at InnoQ, and Eberhard Wolff, fellow at InnoQ, the authors of Service Mesh Primer explain what a service mesh is and more importantly when and if you should use it. They also delve into the main features and reasons for deciding to use one.
Data Mesh: Delivering Data-Driven Value at Scale
How can modern organizations handle their data in a way that delivers value at scale? Zhamak Dehghani, author of “Data Mesh: Delivering Data-Driven Value at Scale,” covers the key principles of data mesh and how it can help organizations move beyond the data lake to provide meaningful insights. She’s joined by Samia Rahman, director of data and AI at Seagen, as they also explore the concept of the earliest explorable data.
