Netflix’s Unified Data Architecture: Model Once, Represent Everywhere with Alex Bertails

Netflix’s Unified Data Architecture: Model Once, Represent Everywhere with Alex Bertails

Author: ServiceNow Community Podcasts November 19, 2025 Duration: 1:05:02

A few months ago, Netflix engineering published a blog post titled “Model Once, Represent Everywhere: UDA (Unified Data Architecture)” which is an RDF knowledge graph connecting domain models to data through mappings, all grounded in-house metamodel. In this episode, Tim and Juan sit down with Alex Bertails to understand the motivations behind UDA, how it’s implemented and the value that Netflix is deriving from it. If you are interested in how to take metadata, knowledge graphs and RDF to the next level, this episode is for you!

See omnystudio.com/listener for privacy information.


Dive into the dynamic world of ServiceNow through the voices of those who know it best. ServiceNow Podcasts, curated by the ServiceNow Community Podcasts, isn't a single show but a rich library of conversations. Each series within this collection is hosted by different practitioners and experts, bringing you grounded discussions from a wide array of focus areas. Whether you're looking for the latest platform updates, deep dives into implementation strategies, or insights on IT service management and beyond, this podcast has a channel for you. You'll hear authentic talk about real-world applications, emerging trends, and the practical knowledge that professionals are using right now. It’s like having a direct line to the community’s collective experience. Tuning in means accessing a broad variety of topics designed to inform and educate, all framed within the context of what's happening at ServiceNow and in the ecosystems around it. For anyone working with or interested in the platform, this ongoing series of dialogues is an essential resource for staying current and connected. Find your niche, learn something new, and get the perspective only insiders can provide through these regular episodes.
Author: Language: en-us Episodes: 100

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