From Facts & Metrics to Media Machine Learning: Evolving the Data Engineering Function at Netflix
Netflix is advancing its data engineering capabilities by developing Media ML Data Engineering, focusing on a Media Data Lake to enhance machine learning and media asset management, enabling innovative applications and collaboration across teams.
MAIN POINTS
- Media ML Data Engineering bridges traditional data engineering and media-centric machine learning.
- The Media Data Lake centralizes and standardizes access to diverse media assets.
- Media tables integrate traditional metadata with machine learning model outputs.
- Collaboration across teams ensures data solutions meet real-world needs.
TAKEAWAYS
- Media ML Data Engineering supports seamless access to media assets for machine learning workflows.
- The Media Data Lake uses LanceDB to manage media assets and metadata.
- Media tables facilitate innovative applications like translation, restoration, and search.
- Collaborative efforts enhance data quality and technological advancements at Netflix.