The Netflix TechBlog
JULY 15, 2021
Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?
The Netflix TechBlog
JUNE 20, 2024
A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.
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The Netflix TechBlog
NOVEMBER 22, 2019
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. Wednesday?—?December The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud.
The Netflix TechBlog
MARCH 2, 2021
At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.
The Netflix TechBlog
NOVEMBER 22, 2019
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. Wednesday?—?December The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud.
The Netflix TechBlog
NOVEMBER 22, 2019
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. Wednesday?—?December The talk also includes examples of using these tools in the Amazon Elastic Compute Cloud (Amazon EC2) cloud.
The Netflix TechBlog
MARCH 7, 2024
Instead, in the style of nanoarrow , our Fast Data library only relies on the stable Arrow C data interface , producing a hermetically sealed library with no external dependencies. A key challenge in creating a knowledge graph is entity resolution. Internally, we use a production workflow orchestrator called Maestro.
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