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Part 1: A Survey of Analytics Engineering Work at Netflix
- This article highlights some of the analytics engineering work done at Netflix to empower the streaming giant to produce and deliver high-quality analytical insights and optimize member experience.
- One area of focus is DataJunction, an open-source tool developed by Netflix that simplifies the metric creation process, bringing metric definitions to a central store that other teams can access. The tool also performs the dimensional join and filtering automatically.
- Netflix is also democratizing analytics by developing LORE, a chatbot that uses language learning models to provide users with contextual insights and gain insights that were locked in dashboard products.
- The company is leveraging Foundational Platform Data (FPD) to provide a centralized data layer for all platform data with a consistent model and standardized processing methodology. Cloud Efficiency Analytics (CEA) is built on top of FPD and provides time series efficiency metrics across various business use cases.
- The Analytics Engineering is a key contributor to building Netflix's deep data culture. Netflix annually holds the Analytics Summit, where the community comes together to discuss analytical deliverables, build relationships, and share knowledge.
- Netflix's analytics engineering work is essential to understanding what content will excite members and bring them back for more. Analytics Engineers build end-to-end analytical systems that translate business challenges into actionable insights.
- The DataJunction tool heavily leverages the dimensional join feature to allow the Netflix Experimentation Platform to compare average streaming hours in different cells and reliably track data across different dashboards.
- LORE, the chatbot developed by Netflix, allows internal users and business users to query contextualized data that previously required sophisticated knowledge of the underlying data models.
- Foundational Platform Data provides a centralized data layer for all platform data and a standardized data processing methodology, and Cloud Efficiency Analytics offers an analytics data layer that provides insights into resource usage and costs across various granularities.
- Analytics Engineering is a critical component of Netflix's culture and contributes to delivering optimized member experiences. Netflix promotes its Analytics Engineering conferences as a way to share knowledge, review progress, and discuss analytical deliverables.
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