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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

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?

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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. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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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. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 100
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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Curious to learn about what it’s like to be a Data Engineer at Netflix? Hear directly from Samuel Setegne , Dhevi Rajendran , Kevin Wylie , and Pallavi Phadnis in our “Data Engineers of Netflix” interview series. Growth Advertising At Netflix, we want to entertain the world !

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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

Put simply, data is not always readily available and accessible to organizational end users. The data infrastructure to collect, store, and process data is geared primarily towards developers and IT professionals whereas insights need to be derived by not just technical professionals but also non-technical business users.

Analytics 152
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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. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

AWS 37
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Microservices Adoption in 2020

O'Reilly

Adding architects and engineers, we see that roughly 55% of the respondents are directly involved in software development. Technical roles represented in the “Other” category include IT managers, data engineers, DevOps practitioners, data scientists, systems engineers, and systems administrators.

Database 135