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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

At Netflix, we seek to entertain the world by ensuring our members find the shows and movies that will thrill them. DJ stands out as an open source solution that is actively developed and stress-tested at Netflix. DJ has a strong pedigreethere are several prior semantic layers in the industry (e.g.

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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

To facilitate easier access to incrementality results, we have developed an interactive tool powered by this framework. To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. We only observe signups, not why members signedup.

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Hawkins: Diving into the Reasoning Behind our Design System

The Netflix TechBlog

Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.

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Foundation Model for Personalized Recommendation

The Netflix TechBlog

This limitation has inspired us to develop a foundation model for recommendation. These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At Netflix, our mission is to entertain the world.

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

Standardization To standardize communication between our observability service and the personalization stacks observability endpoints, weve developed a stable proto request/response format. Thank you for joining us on this exploration, and stay tuned for more insights and innovations as we continue to entertain theworld.

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My (Seemingly) Random Walk to Netflix

The Netflix TechBlog

That person grew up dreaming of working in the entertainment industry. Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. When I was growing up, I developed a strong interest in the space program.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

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