DiscoverKnowledge Graph InsightsAlexandre Bertails: The Netflix Unified Data Architecture – Episode 40
Alexandre Bertails: The Netflix Unified Data Architecture – Episode 40

Alexandre Bertails: The Netflix Unified Data Architecture – Episode 40

Update: 2025-11-03
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Alexandre Bertails



At Netflix, Alexandre Bertails and his team have adopted the RDF standard to capture the meaning in their content in a consistent way and generate consistent representations of it for a variety of internal customers.



The keys to their system are a Unified Data Architecture (UDA) and a domain modeling language, Upper, that let them quickly and efficiently share complex data projections in the formats that their internal engineering customers need.



We talked about:



his work at Netflix on the content engineering team, the internal operation that keeps the rest of the business running

how their search for "one schema to rule them all" and the need for semantic interoperability led to the creation of the Unified Data Architecture (UDA)

the components of Netflix's knowledge graph

Upper, their domain modeling language

their focus on conceptual RDF, resulting in a system that works more like a virtual knowledge graph

his team's decision to "buy RDF" and its standards

the challenges of aligning multiple internal teams on ontology-writing standards and how they led to the creation of UDA

their two main goals in creating their Upper domain modeling language - to keep it as compact as possible and to support federation

the unique nature of Upper and its three essential characteristics - it has to be self-describing, self-referencing, and self-governing

their use of SHACL and its role in Upper

how his background in computer science and formal logic and his discovery of information science brought him to the RDF world and ultimately to his current role

the importance of marketing your work internally and using accessible language to describe it to your stakeholders - for example describing your work as a "domain model" rather than an ontology

UDA's ability to permit the automatic distribution of semantically precise data across their business with one click

how reading the introduction to the original 1999 RDF specification can help prepare you for the LLM/gen AI era



Alexandre's bio

Alexandre Bertails is an engineer in Content Engineering at Netflix, where he leads the design of the Upper metamodel and the semantic foundations for UDA (Unified Data Architecture).

Connect with Alex online



LinkedIn

bertails.org



Resources mentioned in this interview



Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix

Resource Description Framework (RDF) Schema Specification (1999)



Video

Here’s the video version of our conversation:



https://youtu.be/DCoEo3rt91M



Podcast intro transcript

This is the Knowledge Graph Insights podcast, episode number 40. When you're orchestrating data operations for an enormous enterprise like Netflix, you need all of the automation help you can get. Alex Bertails and his content engineering team have adopted the RDF standard to build a domain modeling and data distribution platform that lets them automatically share semantically precise data across their business, in the variety of formats that their internal engineering customers need, often with just one click.

Interview transcript

Larry:

Hi, everyone. Welcome to episode number 40 of the Knowledge Graph Insights podcast. I am really excited today to welcome to the show, Alex Bertails. Alex is a software engineer at Netflix, where he's done some really interesting work. We'll talk more about that later today. But welcome, Alex, tell the folks a little bit more about what you're up to these days.



Alex:

Hi, everyone. I'm Alex. I'm part of the content engineering side of Netflix. Just to make it more concrete, most people will think about the streaming products,
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Alexandre Bertails: The Netflix Unified Data Architecture – Episode 40

Alexandre Bertails: The Netflix Unified Data Architecture – Episode 40

Larry Swanson