Netflix's Upper: Building a Unified Data Architecture for Content Consistency

Deciphering Netflix's Data Strategy

Netflix's Upper metamodel is a promising approach to solving the data silo problem inherent in large content engineering systems. The use of W3C standards like RDF and SHACL provides a strong foundation for interoperability and data governance. The 'model once, represent everywhere' principle, coupled with the ability to extend models monotonically, suggests a scalable and flexible design. However, the article lacks detail on the practical challenges of migrating existing systems to this new architecture. It would be beneficial to understand the complexities of data transformation and the potential for performance bottlenecks within the UDA framework as the data volume increases.

Key Points

• The UDA leverages a knowledge graph with Domain Models, Data Container Representations, and Mappings to ensure modularity, resolution, and governance.

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📖 Source: Breaking Silos: Netflix Introduces Upper Metamodel to Bring Consistency Across Content Engineering