Netflix Tech

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?

Data Engineering 80

Data Engineering Engineering Data Big Data 80

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.

Data Engineering 56

Data Engineering Engineering Data Culture 56

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical

Data Engineering 52

Data Engineering Engineering Data Culture 52

Netflix Tech

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. In the Reliability space, our data teams focus on two main approaches.

Infrastructure 74

Infrastructure Scalability Cloud Data 74

InfoQ Culture Methods

JANUARY 7, 2022

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

Software Development 92

Software Development Data Software Trends 92

InfoQ Culture Methods

FEBRUARY 25, 2021

Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. Machine learning is a powerful new tool, but how does it fit in your agile development? By Jay Palat.

Machine Learning 116

Machine Learning Artificial Inteligence Agile Development 116

Apiumhub

AUGUST 29, 2019

Alvaro Garcia – Principal Software Engineer at Apiumhub, Ruggero Tonelli – Principal Site Reliability Engineer at Netquest, Felix Kerger – Principal Developer Advocate at King, Corrado Calzoni – Principal Software Engineer at Roche, Stephan Lagraulet – Head of Engineering.

Engineering 32

Engineering Part-Time VPE Software Engineering Engineering Culture 32