Netflix introduces Media ML Data Engineering, a new specialization that bridges traditional data engineering with media-centric machine learning. The team built a Media Data Lake using LanceDB to handle multi-modal media assets (video, audio, text, images) and their metadata. This platform enables advanced ML applications like

7m read timeFrom netflixtechblog.com
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Table of contents
From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at NetflixThe Evolution: From Traditional Tables to Media TablesThe Rise of Media ML Data EngineeringKey ResponsibilitiesIntroducing the Media Data LakeArchitecture and Key ComponentsStarting Small with New TechnologyMedia Tables: The New Foundation for ML and InnovationThe Human Side: New Roles and CollaborationLooking Ahead

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